Research, science and statistics: study assistance, study summaries and student internships abroad

from improving study skills to studying abroad and job openings to personal experiences

Image

Image

PAGE LAYOUT

Research, science and statistics

INTRO   SUMMARIES AND STUDY ASSISTANCE   ACTIVITIES AND TIPS   ORGANIZATIONS   SPOTLIGHT   SEARCH

PAGE INTRO

Table of contents:

Research, science and statistics: study and knowledge
  • What is science, research methods, research design and statistics?
  • What are the key terms, definitions and concepts summarized in the field of science and research?
  • What are the key terms, definitions and concepts summarized in the field of statistics and statistics samples?
Research, science and statistics: summaries and study assistance
  • What is the homepage for summaries for research, science and statistics?
  • What are the best textbooks for research methods and research design summarized?
  • What are the best textbooks for statistics and data analysis methods summarized?
  • What are the best textbooks for theory of science and philosophy of science summarized?
  • What are the best scientific articles for research, science and statistics?
Research, science and statistics: summaries per related study field
Research, science and statistics: study and work skills
  • How to improve your study skills in the field of research, science and statistics?
  • Which skills are related to the field of research, science and statistics?
Research, science and statistics: study abroad, intern abroad and work abroad
  • Which activities, internships and vacancies abroad are related to the field of research, science and statistics?
  • Which organizations offer internships and activities in the field of research, science and statistics?
Research, science and statistics: shared experiences
  • What are the related spotlight blogs and contributions of other WorldSupporters?
Research, science and statistics: shared content
  • All shared content related to research, science and statistics: jobs, tips, summaries, organizations and blogs
  • Search all shared content

Image

What is science, why would you study it, and where is the best place to study, intern or work abroad?

What is science, why would you study it, and where is the best place to study, intern or work abroad?

What is science?

  • Science is the systematic study of the natural world through observation, experimentation, analysis, and evidence-based explanation.
  • The discipline tests ideas, builds knowledge, and revises explanations when new evidence changes existing understanding.
  • Science provides methods for interpreting organisms, materials, environments, landscapes, societies, and the processes connecting them.

What are the main reasons for being active in the field of science?

  • Science offers an intellectual framework for asking questions, testing explanations, and distinguishing evidence from unsupported assumptions.
  • The field examines environmental processes such as ecosystems, climate change, biodiversity, geological activity, and interactions between people and nature.
  • Scientific methods connect theory with practical investigation through experiments, observations, measurements, models, and systematic analysis.
  • Scientific knowledge contributes to public discussions involving healthcare, technology, environmental management, materials, and social development.
  • Research frequently crosses national and disciplinary boundaries because many scientific questions require shared data, facilities, methods, and expertise.

What skills do you need to participate in science?

  • To analyse: scientific work involves examining observations, identifying patterns, comparing results, and evaluating whether evidence supports a proposed explanation.
  • To plan: experiments and research projects require organized procedures, appropriate methods, reliable measurements, realistic schedules, and careful use of resources.
  • To communicate: researchers describe methods, present findings, explain uncertainty, and make complex information understandable to professional and public audiences.
  • To collaborate: scientific investigations often bring together researchers, technicians, institutions, communities, and specialists from several disciplines or countries.
  • To be aware of your surroundings: laboratory and field research require attention to environmental conditions, equipment, samples, safety procedures, and unexpected changes.
  • To form an opinion: scientific reasoning involves reaching evidence-based conclusions while remaining open to criticism, uncertainty, replication, and alternative interpretations.

What motivates people to study or work in science?

  • Be and feel meaningful with a sense of purpose: science attracts people who value contributing to knowledge about nature, society, health, technology, or environmental processes.
  • Be and feel involved: the field suits people who prefer active engagement with observations, experiments, research questions, data, and practical investigation.
  • Be and feel connected: scientific communities connect people through shared methods, international cooperation, peer review, public discussion, and collective research projects.
  • Be and feel self-aware: scientific inquiry encourages reflection on personal assumptions, methodological choices, possible bias, uncertainty, and the limits of available evidence.
  • Be and feel experienced: scientific understanding develops through repeated observation, technical practice, critical feedback, methodical investigation, and sustained engagement with evidence.

What are the best countries and locations to study, intern or work in science?

Where can you find work experience and vacancies for jobs, internships, and voluntary work in science abroad?

What are things to consider when studying or working abroad in science?

  • Scientific experience abroad may involve laboratory placements, research projects, internships, field studies, volunteering, or technical assistance: activities around and abroad
  • Preparation should address research permissions, documentation, equipment, accommodation, transport, local conditions, language, and laboratory or fieldwork expectations: preparation for successful travel and stay abroad
  • Health and insurance arrangements should reflect possible laboratory, fieldwork, climate, chemical, biological, equipment, and remote-location risks: insuring and taking care abroad

Further depth: what is science as a discipline?

What are the main features of science?

Science investigates natural and social phenomena through organized observation, experimentation, analysis, and explanation, while keeping its findings open to testing, replication, and revision.

  • Evidence-based inquiry: Scientific explanations depend on observable or measurable evidence gathered through systematic research rather than intuition, authority, or unsupported assumption.
  • Objectivity: Scientific methods aim to limit personal bias through transparent procedures, standardized measurements, critical evaluation, and comparison with independently collected evidence.
  • Repeatability: Researchers describe their methods clearly so others can repeat investigations, examine results, and determine whether findings remain consistent under similar conditions.
  • Knowledge building: Science develops an expanding body of knowledge by connecting individual findings with established theories, models, measurements, and earlier observations.
  • Continuous revision: Scientific understanding changes when new evidence, improved instruments, stronger methods, or alternative explanations reveal limitations in existing conclusions.

What are important sub-areas of science?

Science contains several broad branches that investigate different aspects of reality while sharing methods of systematic observation, logical analysis, modelling, and evidence-based explanation.

  • Natural sciences: Physics, chemistry, biology, astronomy, geology, and ecology examine matter, energy, organisms, Earth systems, and processes in the physical universe.
  • Social sciences: Psychology, sociology, anthropology, economics, and political science investigate human behaviour, institutions, cultures, societies, relationships, and collective decision-making.
  • Formal sciences: Mathematics, logic, statistics, and computer science examine abstract structures, symbolic systems, algorithms, relationships, and rules of valid reasoning.
  • Physical sciences: Physics and chemistry study forces, motion, energy, matter, substances, reactions, and the fundamental principles governing physical systems.
  • Life sciences: Biology and related fields examine organisms, cells, heredity, evolution, physiology, ecosystems, and relationships among living forms.

What are key concepts in science?

Scientific investigation relies on concepts that organize research, connect evidence with explanations, and clarify how natural or social phenomena can be represented and understood.

  • Scientific method: Research commonly progresses through observation, question formulation, hypothesis development, testing, analysis, interpretation, and communication of the resulting conclusions.
  • Scientific theory: A theory provides a well-supported explanation that connects multiple observations and remains open to further testing or revision.
  • Natural law: Scientific laws describe consistent relationships or patterns observed under defined conditions without necessarily explaining why those patterns occur.
  • Scientific model: A model simplifies a system or process so researchers can represent relationships, test assumptions, make comparisons, or explore possible outcomes.
  • Hypothesis: A hypothesis is a focused and testable proposed explanation that guides the collection, analysis, and evaluation of relevant evidence.

Who are influential figures in science?

Influential scientists have shaped the discipline by developing new theories, experimental methods, observations, or forms of evidence that changed established explanations of nature.

  • Galileo Galilei: His astronomical observations and studies of motion strengthened experimental investigation
......more on this page, or read on below >>
Access: 
Public
What is research methods, why would you study it, and where is the best place to study, intern or work abroad?

What is research methods, why would you study it, and where is the best place to study, intern or work abroad?

What are research methods?

  • Research methods form a systematic toolkit for collecting, analysing, and interpreting information across scientific, social, educational, and professional disciplines.
  • The field examines how research questions can be translated into reliable study designs, suitable data, and evidence-based conclusions.
  • Research methods provide a structured way to understand complex human, organizational, scientific, and environmental situations through carefully planned investigation.

What are the main reasons for being active in the field of research methods?

  • Research methods encourage intellectual discipline by connecting questions, evidence, analysis, and conclusions through transparent procedures.
  • The field supports environmental investigation by providing ways to measure conditions, compare interventions, and evaluate patterns of change.
  • Research methods have practical relevance because they guide the design, assessment, and improvement of studies, programs, policies, and treatments.
  • The discipline contributes to social understanding by examining experiences, behavior, institutions, inequality, education, health, and other complex issues.
  • Research methods are internationally relevant because shared procedures allow studies from different countries and disciplines to be compared, reviewed, and repeated.

What skills do you need to participate in research methods?

  • To analyse: research methods require the careful organization, interpretation, and evaluation of quantitative and qualitative information.
  • To plan: researchers must connect questions, study designs, data collection, analysis, resources, and ethical procedures in a coherent sequence.
  • To form an opinion: the field involves weighing evidence, recognizing limitations, and developing conclusions that remain proportionate to the findings.
  • To communicate: methods, results, assumptions, and limitations must be described clearly so that others can assess the research.
  • To have integrity: responsible research depends on honest reporting, respect for participants, and transparent handling of evidence.
  • To collaborate: many investigations involve participants, supervisors, analysts, institutions, and specialists from different disciplinary backgrounds.

What motivates people to study or work in research methods?

  • Be and feel meaningful with a sense of purpose: research can connect systematic investigation to questions concerning health, education, society, science, policy, and organizational improvement.
  • Be and feel involved: the field attracts people who prefer engaging directly with questions, participants, evidence, and practical problems.
  • Be and feel self-aware: methodological work requires reflection on assumptions, choices, biases, interpretations, and the researcher’s position within a study.
  • Be and feel experienced: repeated practice with study design, data collection, analysis, and evaluation gradually develops methodological judgment.
  • Be and feel independent and free: research methods allow investigators to formulate questions and select approaches suited to different subjects, settings, and forms of evidence.

What are the best countries and locations to study, intern or work in research methods?

Where can you find work experience and vacancies for jobs, internships, and voluntary work in research methods abroad?

What are things to consider when studying or working abroad in research methods?

  • When preparing for research-related experience abroad, it is useful to compare study, internships, employment, volunteering, and fieldwork options: activities around and abroad
  • Research abroad requires practical preparation concerning documentation, accommodation, local procedures, communication, data access, and participant contact: preparation for successful travel and stay abroad
  • Insurance, health arrangements, personal safety, and responsibility toward research participants should be considered before departure: insuring and taking care abroad

Further depth: what are research methods as a discipline?

What are the main features of research methods?

Research methods connect questions to evidence through structured choices concerning study design, data collection, analysis, interpretation, quality, and the ethical treatment of participants.

  • Evidence-based inquiry: Conclusions are developed from systematically gathered information rather than intuition, unsupported assumptions, or isolated observations that cannot be examined by others.
  • Problem formulation: Researchers define focused questions, determine what information is relevant, and select procedures capable of addressing the problem under investigation.
  • Systematic procedure: Clearly described steps for collecting and analysing data strengthen transparency, support critical evaluation, and make a study easier to repeat.
  • Critical evaluation: Research methods provide criteria for examining whether evidence, procedures, interpretations, and conclusions are credible, appropriate, and proportionate to the study.

What are important sub-areas of research methods?

The discipline includes several methodological traditions, each suited to particular questions, forms of evidence, analytical goals, and assumptions about how knowledge can be developed.

  • Quantitative research: Numerical information is collected and examined through statistical procedures, frequently using surveys, measurements, structured observations, or controlled experiments.
  • Qualitative research: Interviews, focus groups, observations, and texts are used to investigate experiences, meanings, interactions, and social processes in contextual detail.
  • Mixed methods: Quantitative and qualitative approaches are combined when numerical patterns and contextual interpretation are both needed to understand a research problem.
  • Data analysis: Collected material is cleaned, organized, summarized, interpreted, and sometimes visualized to identify patterns and develop supported conclusions.
  • Research design: A study strategy, such as an experiment, survey, or case study, is selected according to the question, available evidence, and intended claims.

What are key concepts in research methods?

Methodological quality depends on concepts that clarify what is being studied, how evidence is obtained, and how confidently findings may be interpreted or repeated.

  • Variables: Measurable or observable characteristics, such as age, income, or satisfaction, are examined for variation, patterns, differences, or relationships.
  • Data collection: Relevant information is gathered through procedures suited to the research question, including measurements, surveys, interviews, experiments, observations, or documents.
  • Data analysis: Analytical techniques organize and interpret collected information so that researchers can identify patterns, assess relationships, and draw evidence-based conclusions.
  • Validity: A study is valid to the extent that its methods and measurements represent what the investigation intends to examine.
  • Reliability: Reliable procedures produce sufficiently consistent findings when measurements or investigations are repeated under comparable circumstances.
  • Research ethics: Studies should protect participants’ rights and well-being while addressing
......more on this page, or read on below >>
Access: 
Public
What is research design, why would you study it, and where is the best place to study, intern or work abroad?

What is research design, why would you study it, and where is the best place to study, intern or work abroad?

What is research design?

  • Research design is the planning and structuring of an investigation around a specific research question.
  • The discipline connects research questions with suitable methods, participants, variables, data collection procedures, and forms of analysis.
  • Research design provides a framework for understanding how evidence can support reliable, ethical, and appropriately limited conclusions.

What are the main reasons for being active in the field of research design?

  • Research design develops systematic thinking about how questions can be translated into investigations that produce relevant evidence.
  • The field supports studies of environmental conditions by clarifying what should be observed, compared, measured, or evaluated.
  • Research design contributes to practical decision-making by structuring evaluations of policies, programs, products, treatments, and educational interventions.
  • Careful designs make social research more transparent by addressing participant selection, ethical responsibilities, bias, and the interpretation of findings.
  • Research design provides a shared framework for international studies in which methods, populations, and findings must be compared across different contexts.

What skills do you need to participate in research design?

  • To analyse: research design requires examining questions, variables, evidence, limitations, and possible sources of bias before selecting a suitable approach.
  • To plan: the field depends on organizing research stages, participant selection, data collection, analysis, resources, and ethical procedures in a coherent sequence.
  • To form an opinion: researchers must compare alternative designs and justify why a particular structure fits the research question and intended conclusions.
  • To communicate: a design must be explained clearly enough for participants, colleagues, reviewers, and other researchers to understand its procedures and limitations.
  • To collaborate: research design often involves cooperation between subject specialists, methodologists, statisticians, field researchers, institutions, and participating communities.
  • To have integrity: ethical participant selection, responsible data collection, transparent reporting, and honest treatment of uncertainty are central to credible research design.

What motivates people to study or work in research design?

  • Be and feel meaningful with a sense of purpose: research design attracts people who want investigations to produce evidence that can inform knowledge, policy, evaluation, or practice.
  • Be and feel self-aware: the discipline encourages reflection on assumptions, methodological choices, researcher influence, bias, and the limits of possible conclusions.
  • Be and feel involved: designing studies creates close engagement with research questions, participants, institutions, data, and the practical conditions of an investigation.
  • Be and feel independent and free: research design allows investigators to compare approaches and construct a study around the specific nature of a question.
  • Be and feel unlimited: the field connects with scientific, social, educational, clinical, policy, and business research through adaptable design principles.

What are the best countries and locations to study, intern or work in research design?

Where can you find work experience and vacancies for jobs, internships, and voluntary work in research design abroad?

What are things to consider when studying or working abroad in research design?

  • When preparing for research design activities abroad, an overview of study, internships, research assistance, volunteering, and other international options can support informed planning: activities around and abroad
  • Research conducted abroad requires practical preparation concerning documentation, institutional access, local procedures, accommodation, communication, and the organization of fieldwork: preparation for successful travel and stay abroad
  • Insurance, health arrangements, participant safety, personal care, and preparation for unexpected circumstances require attention before beginning an international research placement: insuring and taking care abroad

Further depth: what is research design as a discipline?

What are the main features of research design?

Research design establishes the logical structure of an investigation, connecting its question with appropriate procedures while considering validity, reliability, bias, ethics, participants, and available resources.

  • Purposeful structure: Each design is selected according to the question being investigated and the kind of evidence required to address it effectively.
  • Bias management: Study procedures are organized to reduce systematic distortion and support conclusions that remain consistent with the collected evidence.
  • Ethical planning: Participant selection, informed involvement, data collection, and research procedures must be structured in accordance with relevant ethical responsibilities.
  • Resource alignment: Time, funding, personnel, access, and practical constraints influence how an investigation can be organized without weakening its central purpose.

What are important sub-areas of research design?

Research design includes quantitative, qualitative, and mixed-methods approaches, each offering distinct ways to organize evidence around measurement, comparison, interpretation, experience, or contextual understanding.

  • Experimental design: Researchers manipulate an independent variable and observe changes in a dependent variable to investigate possible cause-and-effect relationships.
  • Survey research: Questionnaires or interviews collect structured information from a sample intended to represent a broader population or defined group.
  • Quasi-experiments: These designs examine intervention effects when full experimental control or random assignment is unavailable or impractical.
  • Case studies: A bounded individual, group, organization, event, or situation is examined intensively within its particular context.
  • Ethnographic design: Researchers use observation and participation to examine the practices, meanings, and relationships of a culture or social group.
  • Phenomenological research: Investigations focus on how individuals describe and interpret their lived experiences of a shared phenomenon.
  • Mixed methods: Quantitative and qualitative evidence are combined to examine different dimensions of the same research question.

What are key concepts in research design?

Core concepts define what a study investigates, whose experiences or characteristics are represented, how evidence is produced, and how confidently its conclusions may be interpreted.

  • Research question: The central question determines the study's focus and guides the selection of participants, variables, methods, and analytical procedures.
  • Variables: Measured or analyzed characteristics allow researchers to examine patterns, differences, associations, and possible effects within a study.
  • Variable roles: Experimental designs distinguish the manipulated independent variable from the dependent variable used to observe a possible effect.
  • Validity: Validity concerns
......more on this page, or read on below >>
Access: 
Public
What is statistics?

What is statistics?

Statistics is the science of data, encompassing its collection, analysis, interpretation, and communication to extract knowledge and inform decision-making.

This definition focuses on the core aspects of the field:

  • Data-driven: Statistics revolves around analyzing and interpreting data, not just manipulating numbers.
  • Knowledge extraction: The goal is to gain insights and understanding from data, not just generate summaries.
  • Decision-making: Statistics informs and empowers informed choices in various settings.

Statistics has a wide application:

1. Design and Inference:

  • Designing studies: Statisticians use statistical principles to design experiments, surveys, and observational studies that allow for reliable inferences.
  • Drawing conclusions: Statistical methods help estimate population parameters from sample data, accounting for uncertainty and variability.

2. Modeling and Analysis:

  • Identifying relationships: Statistical models reveal patterns and relationships among variables, aiding in understanding complex systems.
  • Quantitative analysis: Various statistical techniques, from regression to machine learning, enable deep analysis of data structures and trends.

3. Interpretation and Communication:

  • Meaningful conclusions: Statisticians go beyond numbers to draw meaningful and context-specific conclusions from their analyses.
  • Effective communication: Clear and concise communication of findings, including visualizations, is crucial for informing stakeholders and advancing knowledge.

Applications across disciplines:

These core principles of statistics find diverse applications in various academic fields:

  • Social sciences: Understanding societal patterns, testing hypotheses about human behavior, and evaluating policy interventions.
  • Natural sciences: Analyzing experimental data, modeling physical phenomena, and drawing inferences about natural processes.
  • Business and economics: Forecasting market trends, evaluating business strategies, and guiding investment decisions.
  • Medicine and public health: Analyzing clinical trials, identifying risk factors for disease, and informing healthcare policies.

Ultimately, statistics plays a crucial role in numerous academic disciplines, serving as a powerful tool for extracting knowledge, informing decisions, and advancing human understanding.

Statistics: best definitions, descriptions and lists of terms

Statistics: best definitions, descriptions and lists of terms

Definitions and explanations of the most important terms generally associated with Introduction to Statistics

What is statistics?

What is statistics?

Statistics is the science of data, encompassing its collection, analysis, interpretation, and communication to extract knowledge and inform decision-making.

This definition focuses on the core aspects of the field:

  • Data-driven: Statistics revolves around analyzing and interpreting data, not just manipulating numbers.
  • Knowledge extraction: The goal is to gain insights and understanding from data, not just generate summaries.
  • Decision-making: Statistics informs and empowers informed choices in various settings.

Statistics has a wide application:

1. Design and Inference:

  • Designing studies: Statisticians use statistical principles to design experiments, surveys, and observational studies that allow for reliable inferences.
  • Drawing conclusions: Statistical methods help estimate population parameters from sample data, accounting for uncertainty and variability.

2. Modeling and Analysis:

  • Identifying relationships: Statistical models reveal patterns and relationships among variables, aiding in understanding complex systems.
  • Quantitative analysis: Various statistical techniques, from regression to machine learning, enable deep analysis of data structures and trends.

3. Interpretation and Communication:

  • Meaningful conclusions: Statisticians go beyond numbers to draw meaningful and context-specific conclusions from their analyses.
  • Effective communication: Clear and concise communication of findings, including visualizations, is crucial for informing stakeholders and advancing knowledge.

Applications across disciplines:

These core principles of statistics find diverse applications in various academic fields:

  • Social sciences: Understanding societal patterns, testing hypotheses about human behavior, and evaluating policy interventions.
  • Natural sciences: Analyzing experimental data, modeling physical phenomena, and drawing inferences about natural processes.
  • Business and economics: Forecasting market trends, evaluating business strategies, and guiding investment decisions.
  • Medicine and public health: Analyzing clinical trials, identifying risk factors for disease, and informing healthcare policies.

Ultimately, statistics plays a crucial role in numerous academic disciplines, serving as a powerful tool for extracting knowledge, informing decisions, and advancing human understanding.

What is a variable?

What is a variable?

A statistical variable is a characteristic, attribute, or quantity that can assume different values and can be measured or counted within a given population or sample. It's essentially a property that changes across individuals or observations.

Key Points:

  • Variability: The defining feature is that the variable takes on different values across units of analysis.
  • Measurable: The values must be quantifiable, not just qualitative descriptions.
  • Population vs. Sample: Variables can be defined for a whole population or a sampled subset.

Examples:

  • Human height in centimeters (continuous variable)
  • Eye color (categorical variable with specific options)
  • Annual income in dollars (continuous variable)
  • Number of siblings (discrete variable with whole number values)

Applications:

  • Research: Identifying and measuring variables of interest is crucial in research questions and designing studies.
  • Data analysis: Different statistical methods are applied based on the type of variable (continuous, categorical, etc.).
  • Modeling: Variables are the building blocks of statistical models that explore relationships and make predictions.
  • Summaries and comparisons: We use descriptive statistics like averages, medians, and standard deviations to summarize characteristics of variables.

Types of Variables:

  • Quantitative: Measurable on a numerical scale (e.g., height, income, age).
  • Qualitative: Described by categories or attributes (e.g., eye color, education level, city).
  • Discrete: Takes on distinct, countable values (e.g., number of children, shoe size).
  • Continuous: Takes on any value within a range (e.g., weight, temperature, time).
  • Dependent: Variable being studied and potentially influenced by other variables.
  • Independent: Variable influencing the dependent variable.

Understanding variables is crucial for interpreting data, choosing appropriate statistical methods, and drawing valid conclusions from your analysis.

What is the difference between the dependent and independent variables?

What is the difference between the dependent and independent variables?

The dependent and independent variables are two crucial concepts in research and statistical analysis. They represent the factors involved in understanding cause-and-effect relationships.

Independent Variable:

  • Definition: The variable that is manipulated or controlled by the researcher. It's the cause in a cause-and-effect relationship.
  • Applications:
    • Experimental design: The researcher changes the independent variable to observe its effect on the dependent variable.
    • Observational studies: The researcher measures the independent variable alongside the dependent variable to see if any correlations exist.
    • Examples: Dose of medication, study method, temperature in an experiment.

Dependent Variable:

  • Definition: The variable that is measured and expected to change in response to the independent variable. It's the effect in a cause-and-effect relationship.
  • Applications:
    • Measures the outcome or response of interest in a study.
    • Affected by changes in the independent variable.
    • Examples: Plant growth, test score, patient recovery rate.

Key Differences:

FeatureIndependent VariableDependent Variable
ManipulationControlled by researcherMeasured by researcher
RoleCauseEffect
ExampleStudy methodTest score

Side Notes:

  • In some cases, the distinction between independent and dependent variables can be less clear-cut, especially in complex studies or observational settings.
  • Sometimes, multiple independent variables may influence a single dependent variable.
  • Understanding the relationship between them is crucial for drawing valid conclusions from your research or analysis.

Additional Applications:

  • Regression analysis: Independent variables are used to predict the dependent variable.
  • Hypotheses testing: We test whether changes in the independent variable cause changes in the dependent variable as predicted by our hypothesis.
  • Model building: Both independent and dependent variables are used to build models that explain and predict real-world phenomena.

By understanding the roles of independent and dependent variables, you can effectively design studies, analyze data, and draw meaningful conclusions from your research.

What is the difference between discrete and continuous variables?

What is the difference between discrete and continuous variables?

Both discrete and continuous variables are used to represent and measure things, but they differ in the way they do so:

Discrete variables:

  • Represent countable values
  • Have distinct, separate categories with no values in between
  • Think of them as individual units you can count
  • Examples: Number of people in a room, number of correct answers on a test, grades (A, B, C, etc.), size categories (S, M, L), number of days in a month.

Continuous variables:

  • Represent measurable values that can take on an infinite number of values within a range
  • Don't have distinct categories and can be divided further and further
  • Think of them as measurements along a continuous scale
  • Examples: Height, weight, temperature, time, distance, speed, volume.

Here's a table to summarize the key differences:

FeatureDiscrete variableContinuous variable
Type of valuesCountableMeasurable
CategoriesDistinct, no values in betweenNo distinct categories, can be divided further
ExampleNumber of applesWeight of an apple

Additional points to consider:

  • Discrete variables can sometimes be grouped into ranges: For example, instead of counting individual people, you might group them into age ranges (0-10, 11-20, etc.). However, the underlying nature of the variable remains discrete.
  • Continuous variables can be converted to discrete by grouping: For example, you could create discrete categories for temperature (e.g., below freezing, warm, hot). However, this loses information about the actual measurement.
What is a descriptive research design?

What is a descriptive research design?

In the world of research, a descriptive research design aims to provide a detailed and accurate picture of a population, situation, or phenomenon. Unlike experimental research, which seeks to establish cause-and-effect relationships, descriptive research focuses on observing and recording characteristics or patterns without manipulating variables.

Think of it like taking a snapshot of a particular moment in time. It can answer questions like "what," "where," "when," "how," and "who," but not necessarily "why."

Here are some key features of a descriptive research design:

  • No manipulation of variables: The researcher does not actively change anything in the environment they are studying.
  • Focus on observation and data collection: The researcher gathers information through various methods, such as surveys, interviews, observations, and document analysis.
  • Quantitative or qualitative data: Descriptive research can use both quantitative data (numerical) and qualitative data (descriptive) to paint a comprehensive picture.
  • Different types: There are several types of descriptive research, including:
    • Cross-sectional studies: Observe a group of people or phenomena at a single point in time.
    • Longitudinal studies: Observe a group of people or phenomena over time.
    • Case studies: Deeply investigate a single individual, group, or event.

Here are some examples of when a descriptive research design might be useful:

  • Understanding the characteristics of a population: For example, studying the demographics of a city or the buying habits of consumers.
  • Describing a phenomenon: For example, observing the behavior of animals in their natural habitat or documenting the cultural traditions of a community.
  • Evaluating the effectiveness of a program or intervention: For example, studying the impact of a new educational program on student learning.

While descriptive research doesn't necessarily explain why things happen, it provides valuable information that can be used to inform further research, develop interventions, or make informed decisions.

What is a correlational research design?

What is a correlational research design?

A correlational research design investigates the relationship between two or more variables without directly manipulating them. In other words, it helps us understand how two things might be connected, but it doesn't necessarily prove that one causes the other.

Imagine it like this: you observe that people who sleep more hours tend to score higher on tests. This correlation suggests a link between sleep duration and test scores, but it doesn't prove that getting more sleep causes higher scores. There could be other factors at play, like individual study habits or overall health.

Here are some key characteristics of a correlational research design:

  • No manipulation: Researchers observe naturally occurring relationships between variables, unlike experiments where they actively change things.
  • Focus on measurement: Both variables are carefully measured using various methods, like surveys, observations, or tests.
  • Quantitative data: The analysis mostly relies on numerical data to assess the strength and direction of the relationship.
  • Types of correlations: The relationship can be positive (both variables increase or decrease together), negative (one increases while the other decreases), or nonexistent (no clear pattern).

Examples of when a correlational research design is useful:

  • Exploring potential links between variables: Studying the relationship between exercise and heart disease, screen time and mental health, or income and educational attainment.
  • Developing hypotheses for further research: Observing correlations can trigger further investigations to determine causal relationships through experiments.
  • Understanding complex phenomena: When manipulating variables is impractical or unethical, correlations can provide insights into naturally occurring connections.

Limitations of correlational research:

  • It cannot establish causation: Just because two things are correlated doesn't mean one causes the other. Alternative explanations or even coincidence can play a role.
  • Third-variable problem: Other unmeasured factors might influence both variables, leading to misleading correlations.

While correlational research doesn't provide definitive answers, it's a valuable tool for exploring relationships and informing further research. Always remember to interpret correlations cautiously and consider alternative explanations.

What is an experimental research design?

What is an experimental research design?

An experimental research design takes the scientific inquiry a step further by testing cause-and-effect relationships between variables. Unlike descriptive research, which observes, and correlational research, which identifies relationships, experiments actively manipulate variables to determine if one truly influences the other.

Think of it like creating a controlled environment where you change one thing (independent variable) to see how it impacts another (dependent variable). This allows you to draw conclusions about cause and effect with more confidence.

Here are some key features of an experimental research design:

  • Manipulation of variables: The researcher actively changes the independent variable (the presumed cause) to observe its effect on the dependent variable (the outcome).
  • Control groups: Experiments often involve one or more control groups that don't experience the manipulation, providing a baseline for comparison.
  • Randomization: Participants are ideally randomly assigned to groups to control for any other factors that might influence the results.
  • Quantitative data: The analysis focuses on numerical data to measure and compare the effects of the manipulation.

Here are some types of experimental research designs:

  • True experiment: Considered the "gold standard" with a control group, random assignment, and manipulation of variables.
  • Quasi-experiment: Similar to a true experiment but lacks random assignment due to practical limitations.
  • Pre-test/post-test design: Measures the dependent variable before and after the manipulation, but lacks a control group.

Examples of when an experimental research design is useful:

  • Testing the effectiveness of a new drug or treatment: Compare groups receiving the drug with a control group receiving a placebo.
  • Examining the impact of an educational intervention: Compare students exposed to the intervention with a similar group not exposed.
  • Investigating the effects of environmental factors: Manipulate an environmental variable (e.g., temperature) and observe its impact on plant growth.

While powerful, experimental research also has limitations:

  • Artificial environments: May not perfectly reflect real-world conditions.
  • Ethical considerations: Manipulating variables may have unintended consequences.
  • Cost and time: Can be expensive and time-consuming to conduct.

Despite these limitations, experimental research designs provide the strongest evidence for cause-and-effect relationships, making them crucial for testing hypotheses and advancing scientific knowledge.

What is a quasi-experimental research design?

What is a quasi-experimental research design?

In the realm of research, a quasi-experimental research design sits between an observational study and a true experiment. While it aims to understand cause-and-effect relationships like a true experiment, it faces certain limitations that prevent it from reaching the same level of control and certainty.

Think of it like trying to cook a dish with similar ingredients to a recipe, but lacking a few key measurements or specific tools. You can still identify some flavor connections, but the results might not be as precise or replicable as following the exact recipe.

Here are the key features of a quasi-experimental research design:

  • Manipulation of variables: Similar to a true experiment, the researcher actively changes or influences the independent variable.
  • No random assignment: Unlike a true experiment, participants are not randomly assigned to groups. Instead, they are grouped based on pre-existing characteristics or naturally occurring conditions.
  • Control groups: Often involve a control group for comparison, but the groups may not be perfectly equivalent due to the lack of randomization.
  • More prone to bias: Because of the non-random assignment, factors other than the manipulation might influence the results, making it harder to conclude causation with absolute certainty.

Here are some reasons why researchers might choose a quasi-experimental design:

  • Practical limitations: When random assignment is impossible or unethical, such as studying existing groups or programs.
  • Ethical considerations: Randomly assigning participants to receive or not receive an intervention might be harmful or unfair.
  • Exploratory studies: Can be used to gather preliminary evidence before conducting a more rigorous experiment.

Here are some examples of quasi-experimental designs:

  • Pre-test/post-test design with intact groups: Compare groups before and after the intervention, but they weren't randomly formed.
  • Non-equivalent control group design: Select a comparison group that already differs from the intervention group in some way.
  • Natural experiment: Leverage naturally occurring situations where certain groups experience the intervention while others don't.

Keep in mind:

  • Although less conclusive than true experiments, quasi-experimental designs can still provide valuable insights and evidence for cause-and-effect relationships.
  • Careful interpretation of results and consideration of potential biases are crucial.
  • Sometimes, multiple forms of quasi-experimental evidence combined can create a stronger case for causation.
What are the seven steps of the research process?

What are the seven steps of the research process?

While the specific steps might differ slightly depending on the research methodology and field, generally, the seven steps of the research process are:

1. Identify and Develop Your Topic:

  • Start with a broad area of interest and refine it into a specific research question.
  • Consider your personal interests, academic requirements, and potential contributions to the field.
  • Conduct preliminary research to get familiar with existing knowledge and identify gaps.

2. Find Background Information:

  • Consult scholarly articles, books, encyclopedias, and databases to understand the existing knowledge base on your topic.
  • Pay attention to key concepts, theories, and debates within the field.
  • Take notes and organize your findings to build a strong foundation for your research.

3. Develop Your Research Design:

  • Choose a research design that aligns with your research question and data collection methods (e.g., experiment, survey, case study).
  • Determine your sample size, data collection tools, and analysis methods.
  • Ensure your research design is ethical and feasible within your resources and timeframe.

4. Collect Data:

  • Implement your research design and gather your data using chosen methods (e.g., conducting interviews, running experiments, analyzing documents).
  • Be organized, meticulous, and ethical in your data collection process.
  • Document your methods and any challenges encountered for transparency and reproducibility.

5. Analyze Your Data:

  • Apply appropriate statistical or qualitative analysis methods to interpret your data.
  • Identify patterns, trends, and relationships that answer your research question.
  • Be aware of potential biases and limitations in your data and analysis.

6. Draw Conclusions and Interpret Findings:

  • Based on your analysis, draw conclusions that answer your research question and contribute to the existing knowledge.
  • Discuss the implications and significance of your findings for the field.
  • Acknowledge limitations and suggest future research directions.

7. Disseminate Your Findings:

  • Share your research through written reports, presentations, publications, or conferences.
  • Engage with the academic community and participate in discussions to contribute to the advancement of knowledge.
  • Ensure responsible authorship and proper citation of sources.

Remember, these steps are a general framework, and you might need to adapt them based on your specific research project.

What is the difference between descriptive and inferential statistics?

What is the difference between descriptive and inferential statistics?

In the realm of data analysis, both descriptive statistics and inferential statistics play crucial roles, but they serve distinct purposes:

Descriptive Statistics:

  • Focus: Describe and summarize the characteristics of a dataset.
  • What they tell you: Provide information like central tendencies (mean, median, mode), variability (range, standard deviation), and frequency distributions.
  • Examples: Calculating the average age of a group of students, finding the most common hair color in a population sample, visualizing the distribution of income levels.
  • Limitations: Only analyze the data you have, cannot make generalizations about larger populations.

Inferential Statistics:

  • Focus: Draw conclusions about a population based on a sample.
  • What they tell you: Use sample data to estimate population characteristics, test hypotheses, and assess the likelihood of relationships between variables.
  • Examples: Testing whether a new teaching method improves student performance, comparing the average heights of two groups of athletes, evaluating the correlation between exercise and heart disease.
  • Strengths: Allow you to generalize findings to a broader population, make predictions, and test cause-and-effect relationships.
  • Limitations: Reliant on the representativeness of the sample, require careful consideration of potential biases and margins of error.

Here's a table summarizing the key differences:

FeatureDescriptive StatisticsInferential Statistics
FocusDescribe data characteristicsDraw conclusions about populations
Information providedCentral tendencies, variability, distributionsEstimates, hypotheses testing, relationships
ExamplesAverage age, most common hair color, income distributionTesting teaching method effectiveness, comparing athlete heights, exercise-heart disease correlation
LimitationsLimited to analyzed data, no generalizationsReliant on sample representativeness, potential biases and error
 

Remember:

  • Both types of statistics are valuable tools, and the best choice depends on your research question and data availability.
  • Descriptive statistics lay the foundation by understanding the data itself, while inferential statistics allow you to draw broader conclusions and explore possibilities beyond the immediate dataset.
  • Always consider the limitations of each type of analysis and interpret the results with caution.
What is the difference between a parameter and a statistic?

What is the difference between a parameter and a statistic?

In the world of data, where numbers reign supreme, understanding the difference between a parameter and a statistic is crucial. Here's the key difference:

Parameter:

  • Represents a characteristic of the entire population you're interested in.
  • It's a fixed, unknown value you're trying to estimate.
  • Think of it as the true mean, proportion, or other measure of the entire population (like the average height of all humans).
  • It's usually denoted by Greek letters (e.g., mu for population mean, sigma for population standard deviation).

Statistic:

  • Represents a characteristic of a sample drawn from the population.
  • It's a calculated value based on the data you actually have.
  • Think of it as an estimate of the true parameter based on a smaller group (like the average height of your classmates).
  • It's usually denoted by Roman letters (e.g., x-bar for sample mean, s for sample standard deviation).

Here's an analogy:

  • Imagine you want to know the average weight of all elephants on Earth (parameter). You can't weigh every elephant, so you take a sample of 100 elephants and calculate their average weight (statistic). This statistic estimates the true average weight, but it might not be exactly the same due to sampling variability.

Here are some additional key points:

  • You can never directly measure a parameter, but you can estimate it using statistics.
  • The more representative your sample is of the population, the more likely your statistic is to be close to the true parameter.
  • Different statistics can be used to estimate different parameters.
What is the nominal measurement level?

What is the nominal measurement level?

In the realm of data and research, the nominal measurement level represents the most basic way of classifying data. It focuses on categorization and labeling, without any inherent order or numerical value associated with the categories. Imagine it like sorting socks by color - you're simply grouping them based on a distinct characteristic, not measuring any quantitative aspects.

Here are some key features of the nominal measurement level:

  • Categorical data: Values represent categories or labels, not numbers.
  • No inherent order: The categories have no specific ranking or hierarchy (e.g., red socks are not "better" than blue socks).
  • Limited operations: You can only count the frequency of each category (e.g., how many red socks, how many blue socks).
  • Examples: Hair color (blonde, brown, black), blood type (A, B, AB, O), eye color (blue, green, brown), country of origin, shirt size (S, M, L).

Here are some important things to remember about the nominal level:

  • You cannot perform mathematical operations like addition, subtraction, or averaging on nominal data.
  • Statistical tests used with nominal data focus on comparing frequencies across categories (e.g., chi-square test).
  • It's a valuable level for initial categorization and understanding basic relationships between variables.

While it may seem simple, the nominal level plays a crucial role in research by setting the foundation for further analysis and providing insights into basic structures and trends within data. It's like the first step in organizing your closet before you can compare shirt sizes or count the total number of clothes.

What is the ordinal measurement level?

What is the ordinal measurement level?

In the world of data measurement, the ordinal level takes things a step further than the nominal level. While still focused on categorization, it introduces the concept of order. Think of it like sorting t-shirts based on size - you're not just labeling them (small, medium, large), but you're also arranging them in a specific order based on their size value.

Here are the key features of the ordinal measurement level:

  • Categorical data: Similar to nominal level, it represents categories or labels.
  • Ordered categories: The categories have a specific rank or sequence (e.g., small < medium < large).
  • Limited operations: You can still only count the frequency of each category, but you can also compare and rank them.
  • Examples: Educational attainment (high school, bachelor's degree, master's degree), movie rating (1-5 stars), customer satisfaction level (very dissatisfied, somewhat dissatisfied, neutral, somewhat satisfied, very satisfied).

Here are some important points to remember about the ordinal level:

  • You cannot perform calculations like adding or subtracting ordinal data because the intervals between categories might not be equal (e.g., the difference between "medium" and "large" t-shirts might not be the same as the difference between "small" and "medium").
  • Statistical tests used with ordinal data often focus on comparing ranks or order (e.g., median test, Mann-Whitney U test).
  • It provides more information than the nominal level by revealing the relative position of each category within the order.

While still limited in calculations, the ordinal level allows you to understand not only the "what" (categories) but also the "how much" (relative order) within your data. It's like organizing your bookshelf not only by genre but also by publication date.

What is the interval measurement level?

What is the interval measurement level?

In the world of data analysis, the interval measurement level represents a step towards more precise measurements. It builds upon the strengths of the ordinal level by adding equal intervals between categories. Think of it like measuring temperature on a Celsius scale - you have ordered categories (degrees), but the difference between 20°C and 30°C is the same as the difference between 10°C and 20°C.

Here are the key features of the interval measurement level:

  • Quantitative data: Represents numerical values, not just categories.
  • Ordered categories: Similar to the ordinal level, categories have a specific rank or sequence.
  • Equal intervals: The distance between each category is consistent and measurable (e.g., each degree on a Celsius scale represents the same change in temperature).
  • Meaningful zero point: The zero point doesn't necessarily represent an absence of the variable, but it maintains a consistent meaning within the scale (e.g., 0°C doesn't mean "no temperature," but it defines a specific reference point).
  • Wider range of operations: You can perform calculations like addition, subtraction, and averaging, but not multiplication or division (due to the arbitrary zero point).
  • Examples: Temperature (Celsius or Fahrenheit), time (in seconds, minutes, hours), IQ scores, standardized test scores.

Here are some important points to remember about the interval level:

  • While intervals are equal, the ratios between values might not be meaningful (e.g., saying someone with an IQ of 150 is "twice as intelligent" as someone with an IQ of 75 isn't accurate).
  • Statistical tests used with interval data often focus on means, standard deviations, and comparisons of differences between groups (e.g., t-tests, ANOVA).
  • It provides valuable insights into the magnitude and relative differences between data points, offering a deeper understanding of the underlying phenomenon.

Think of the interval level like taking your t-shirt sorting a step further - you're not just ranking sizes but also measuring the exact difference in centimeters between each size. This allows for more precise analysis and comparisons.

What is the ratio measurement level?

What is the ratio measurement level?

In the realm of measurement, the ratio level stands as the most precise and informative among its peers. It builds upon the strengths of the interval level by introducing a true zero point, allowing for meaningful comparisons of magnitudes and ratios between values. Imagine measuring distance in meters - not only are the intervals between meters equal, but a zero value on the scale truly represents a complete absence of distance.

Here are the key features of the ratio measurement level:

  • Quantitative data: Represents numerical values with clear meanings.
  • Ordered categories: Similar to previous levels, categories have a specific rank or sequence.
  • Equal intervals: Like the interval level, the distance between each category is consistent and measurable.
  • True zero point: The zero point signifies the complete absence of the variable (e.g., zero meters means absolutely no distance, zero seconds means no time passed).
  • Widest range of operations: You can perform all mathematical operations (addition, subtraction, multiplication, and division) on ratio data, as the ratios between values have real meaning.
  • Examples: Length (meters, centimeters), weight (kilograms, grams), time (seconds with a true zero at the starting point), age (years since birth).

Here are some important points to remember about the ratio level:

  • It offers the most precise and informative level of measurement, allowing for comparisons of actual magnitudes and ratios.
  • Statistical tests used with ratio data often focus on ratios, proportions, and growth rates (e.g., comparing income levels, analyzing reaction times).
  • It's not always possible to achieve a true zero point in every measurement situation, limiting the application of the ratio level in some cases.

Think of the ratio level like having a ruler marked not just with numbers but also with clear and meaningful reference points - you can not only measure the length of an object but also say it's twice as long as another object. This level unlocks the most powerful analysis capabilities.

Startmagazine: Introduction to Statistics

Study Assistance & Study Summaries

Summaries: the best textbooks for statistics, research and science summarized

Summaries: the best textbooks for statistics, research and science summarized

Summaries of the best textbooks for statistics, research and science

What is this page about?

Where to go next?

  • Read on for highlighted summaries.
  • Click on the topic of your interest, then use the links to go to the summaries
...more on this page, or read on below >>
Access: 
Public
Research, science and statistics: selection of contributions of WorldSupporters

Research, science and statistics: selection of contributions of WorldSupporters

Selection of contributions of WorldSupporters about research, science and statistics

Research, science and statistics
Image

Table of contents:

Research, science and statistics: study and knowledge
  • What is science, research methods, research design and statistics?
  • What are the key terms, definitions and concepts summarized in the field of science and research?
  • What are the key terms, definitions and concepts summarized in the field of statistics and statistics samples?
Research, science and statistics: summaries and study assistance
  • What is the homepage for summaries for research, science and statistics?
  • What are the best textbooks for research methods and research design summarized?
  • What are the best textbooks for statistics and data analysis methods summarized?
  • What are the best textbooks for theory of science and philosophy of science summarized?
  • What are the best scientific articles for research, science and statistics?
Research, science and statistics: summaries per related study field
Research, science and statistics: study and work skills
  • How to improve your study skills in the field of research, science and statistics?
  • Which skills are related to the field of research, science and statistics?
Research, science and statistics: study abroad, intern abroad and work abroad
  • Which activities, internships and vacancies abroad are related to the field of research, science and statistics?
  • Which organizations offer internships and activities in the field of research, science and statistics?
Research, science and statistics: shared experiences
  • What are the related spotlight blogs and contributions of other WorldSupporters?
Research, science and statistics: shared content
  • All shared content related to research, science and statistics: jobs, tips, summaries, organizations and blogs
  • Search all shared content
Summaries: home page for statistics, research and science

Summaries: home page for statistics, research and science

Summaries for research, science and statistics

What is this page about?

  • Contents: information and assortment pointers related to the use of summaries for research, statistics and science on WorldSupporter
  • Study areas: Research methods and Research design, Statistics and Data analysis Methods, Theory of Science and Philosophy of science per study field (e.g. business, economics, psychology, pedagogy and social sciences)
  • Language: English, Dutch
  • Access: Public, Exclusive

Where to go next?

What to read below?

  • Read on for the highlighted studies and pages
...more on this page, or read on below >>
Access: 
Public
Summaries: home page

Home page for the use of summaries on WorldSupporter

What is this page about?

  • Contents: information about using and finding summaries of study books, scientific articles, academic concepts and practice exams on WorldSupporter
  • Study areas: Business, Education, Health, Psychology, Law, Nature, Society and more
  • Languages: English, Dutch
  • Access: Public

Where to go next?

What to find below?

  • Summaries per study and study field
  • Summaries per type and form
    • How to use and find summaries, study notes en practice exams on JoHo WorldSupporter?
    • How and why would you use summaries?
    • Finding summaries practice exams on JoHo WorldSupporter
    • Quicklinks to fields of study for summaries and study assistance
  • Main theme pages for learn and study
  • FAQ: questions and answers about summaries
...more on this page, or read on below >>
Access: 
Public

Image

Skills & Competences

Related competences, skills and values
Academic skills

Academic skills

Academic skills

Study skills

Study skills

Study skills

To analyse

To analyse

To analyse

Discover or develop competencies, qualities, traits and signals

To have integrity

To have integrity

To have integrity: discover or develop competencies, qualities, traits and signals

What is integrity?

What is integrity?

  • You have integrity when your actions - in word and behavior - are in line with generally accepted social and ethical norms and values, even under difficult circumstances and/or pressure to deviate from them.
  • You are accountable for this and holding others accountable for it.
  •  Integrity is about doing what you say, and saying what you do.

What are the concepts and competencies associated with integrity?

  • Being respectful
  • Being honest
  • Being trustworthy
  • Being responsible

What are related concepts and forms of integrity?

What is respect?

  • Respect is a feeling or expression by which you show that you accept someone as a worthy and valuable human being.

What is honesty?

  • Honesty is a quality that includes personal integrity or an absence of deception, lies or obfuscation of facts.

What is being trustworthy?

  • Being trustworthy wll mean being someone in whom others can have confidence

What is sense of responsibility?

  • A sense of responsibility means that you take into account general and organizational social and ethical norms in your dealings
To be convincing

To be convincing

Image

To be convincing : discover or develop competencies, qualities, traits and signals

What is to be convincing?

  • Convincing is when you use the right arguments, at the right time and with an appropriate style, to get someone to support your idea or proposal.

What is being persuasive?

  • To be persuasive, you will need to be able to argue, deal with the other person's views and get proposals through
  • Forms of persuasion are having superiority, being assertive, handling conflicts, negotiating and influencing
Skills: suggestions and summaries on academic skills

Suggestions and summaries of Worldsupporters on academic skill improvement

 

Book summary of Critical Thinking - Moore & Parker - 12th edition

Book summary of Critical Thinking - Moore & Parker - 12th edition

What is critical thinking? - Chapter 1

[TOC]

What is the importance of critical thinking?

For us humans, there is an importance in critical thinking because it aids us in making good decisions. Often we do not realise how irrational our decisions can be, and this is where critical thinking comes in. Critical thinking basically means thinking about our thinking. We make use of logic and reason to determine whether or not a claim is true, if the reasoning behind it is sound and if we can draw a correlation or connection. It is not necessarily about coming up with claim as much as evaluating the correctness of claims that have been made and try to form a proper conclusion.

To achieve this, we evaluate our thinking on the basis of rationality. When we understand how critical thinking works, we can use this knowledge to be critical in multiple subjects and situations in our daily lives. It is, however, important to understand that criticising other people’s claims and ideas does not mean that we want to attack other people, only that we are trying to find the logic in them. Also, criticising other people in not always a case of critical thinking. People can criticise in the most illogical and unreasonable ways, without considering whether or not their claims are true or their reasoning sound.

When we come to a conclusion at the end of a reasoning, we call that a belief. Beliefs are prepositional and can be either true or false. Beliefs can be compared to a judgement or an opinion. When a belief is stated in a declarative way, that is when we start calling it a claim or statement. Claims are things that we can think critically about.

What are important elements of critical thinking?

Within critical thinking, there are three important parts: claims, issues and arguments. These parts can be analysed once they have been determined in conversation or writing.

Claims

Claims are things that we write or declare, to bring across information. With claims we often deal with statements, opinions or beliefs. Claims can be true

.....read more
Access: 
Public
Glossary of Academic Skills for the Social and Psychological Sciences

Glossary of Academic Skills for the Social and Psychological Sciences

Chapter 1: Literature

 

Literature review A detailed overview of the significant literature available about your chosen topic, providing a discussion and critical evaluation, and using clear argument to contextualise and justify your research. (p. 4)

Peer review The process of evaluating an article by experts to ensure the article meets quality criteria before being accepted for publication. (p. 9)

Textbooks Written specifically for audiences such as students or professionals. Material usually presented in an ordered and relatively accessible form. Often draw on a wide range of sources including peer-reviewed academic journal articles. Useful, particularly as an introductory source to get an overview of your research topic and find out who are the recognised experts. (p. 10)

Peer-reviewed academic journal articles Provide detailed reports of research. Articles written by experts in the field and evaluated by other academics (peer reviewers) to assess quality and suitability. Pay rigorous attention to detail and verification of information. Usually contains extensive list of references. Before publication, have usually been revise in response to comments. This is the most useful type for your literature review. Not all academic journal articles are peer-reviewed. (p. 10)

Non-refereed academic journal articles Articles may provide detailed reports of research. Articles selected by an editor or editorial board with subject knowledge. Relevance and usefulness varies considerably. Beware of possible bias. (p. 10)

Professional and trade journal articles Articles written for members of professional or trade organisations, so related to their needs. Consist of a mix of news items and more detailed accounts of a practical nature. Articles rarely based on research, although some provide summaries of research. Can provide useful insights into practice, although may be biased. Need to be used with considerable caution. (p. 10)

Newspaper articles Articles written for members of public, most newspapers addressing a particular market segment. News presented is filtered dependent on events, priority being given to headline-grabbing stories that are likely to appeal to the readers. Good source of topical events and developments. May contain bias in reporting and coverage. (p. 10)

Conference proceedings Articles consist of selected papers presented at a conference, often published as a book or special edition of a journal. Usually peer-reviewed. Increasingly available online. Sometimes difficult to find. Very useful if the theme of the conference matches your research. (p. 10)

Reports Reports on specific topics written by academics and various organisations, including market research organisations and government departments. Beware of possible bias. May not have gone through same review process as peer-reviewed academic journal articles, but those from established organisations are often of high quality. Often difficult to access or expensive to purchase. Can be a useful source of information when

.....read more
Access: 
Public
Stats for students: Simple steps for passing your statistics courses

Stats for students: Simple steps for passing your statistics courses

Image

How to triumph over the theory of statistics (without understanding everything)?

Stats of students

  • The first years that you follow statistics, it is often a case of taking knowledge for granted and simply trying to pass the courses. Don't worry if you don't understand everything right away: in later years it will fall into place, and you will see the importance of the theory you had to know before.
  • The book you need to study may be difficult to understand at first. Be patient: later in your studies, the effort you put in now will pay off.
  • Be a Gestalt Scientist! In other words, recognize that the whole of statistics is greater than the sum of its parts. It is very easy to get hung up on nit-picking details and fail to see the forest because of the trees
  • Tip: Precise use of language is important in research. Try to reproduce the theory verbatim (i.e. learn by heart) where possible. With that, you don't have to understand it yet, you show that you've been working on it, you can't go wrong by using the wrong word and you practice for later reporting of research.
  • Tip: Keep study material, handouts, sheets, and other publications from your teacher for future reference.

How to score points with formulas of statistics (without learning them all)?

  • The direct relationship between data and results consists of mathematical formulas. These follow their own logic, are written in their own language, and can therefore be complex to comprehend.
  • If you don't understand the math behind statistics, you don't understand statistics. This does not have to be a problem, because statistics is an applied science from which you can also get excellent results without understanding. None of your teachers will understand all the statistical formulas.
  • Please note: you will probably have to know and understand a number of formulas, so that you can demonstrate that you know the principle of how statistics work. Which formulas you need to know differs from subject to subject and lecturer to lecturer, but in general these are relatively simple formulas that occur frequently, and your lecturer will likely tell you (often several times) that you should know this formula.
  • Tip: if you want to recognize statistical symbols, you can use: Recognizing commonly used statistical symbols
  • Tip: have fun with LaTeX! LaTeX code gives us a simple way to write out mathematical formulas and make them look professional. Play with LaTeX. With that, you can include used formulas in your own papers and you learn to understand how a formula is built up – which greatly benefits your understanding and remembering that formula. See also (in Dutch): How to create formulas like a pro on JoHo WorldSupporter?
  • Tip: Are you interested in a career in sciences or programming? Then take your formulas seriously and go through them again after your course.

How to practice your statistics (with minimal effort)?

How to select your data?

  • Your teacher will regularly use a dataset for lessons during the first years of your studying. It is instructive (and can be a lot of fun) to set up your own research for once with real data that is also used by other researchers.
  • Tip: scientific articles often indicate which datasets have been used for the research. There is a good chance that those datasets are valid. Sometimes there are also studies that determine which datasets are more valid for the topic you want to study than others. Make use of datasets other researchers point out.
  • Tip: Do you want an interesting research result? You can use the same method and question, but use an alternative dataset, and/or alternative variables, and/or alternative location, and/or alternative time span. This allows you to validate or falsify the results of earlier research.
  • Tip: for datasets you can look at Discovering datasets for statistical research

How to operationalize clearly and smartly?

  • For the operationalization, it is usually sufficient to indicate the following three things:
    • What is the concept you want to study?
    • Which variable does that concept represent?
    • Which indicators do you select for those variables?
  • It is smart to argue that a variable is valid, or why you choose that indicator.
  • For example, if you want to know whether someone is currently a father or mother (concept), you can search the variables for how many children the respondent has (variable) and then select on the indicators greater than 0, or is not 0 (indicators). Where possible, use the terms 'concept', 'variable', 'indicator' and 'valid' in your communication. For example, as follows: “The variable [variable name] is a valid measure of the concept [concept name] (if applicable: source). The value [description of the value] is an indicator of [what you want to measure].” (ie.: The variable "Number of children" is a valid measure of the concept of parenthood. A value greater than 0 is an indicator of whether someone is currently a father or mother.)

How to run analyses and draw your conclusions?

  • The choice of your analyses depends, among other things, on what your research goal is, which methods are often used in the existing literature, and practical issues and limitations.
  • The more you learn, the more independently you can choose research methods that suit your research goal. In the beginning, follow the lecturer – at the end of your studies you will have a toolbox with which you can vary in your research yourself.
  • Try to link up as much as possible with research methods that are used in the existing literature, because otherwise you could be comparing apples with oranges. Deviating can sometimes lead to interesting results, but discuss this with your teacher first.
  • For as long as you need, keep a step-by-step plan at hand on how you can best run your analysis and achieve results. For every analysis you run, there is a step-by-step explanation of how to perform it; if you do not find it in your study literature, it can often be found quickly on the internet.
  • Tip: Practice a lot with statistics, so that you can show results quickly. You cannot learn statistics by just reading about it.
  • Tip: The measurement level of the variables you use (ratio, interval, ordinal, nominal) largely determines the research method you can use. Show your audience that you recognize this.
  • Tip: conclusions from statistical analyses will never be certain, but at the most likely. There is usually a standard formulation for each research method with which you can express the conclusions from that analysis and at the same time indicate that it is not certain. Use that standard wording when communicating about results from your analysis.
  • Tip: see explanation for various analyses: Introduction to statistics
Study Guide for summaries with Academic Writing Skills by Van der Molen a.o.

Study Guide for summaries with Academic Writing Skills by Van der Molen a.o.

Study Guide with summaries and study assistance for:

  • Booktitle: Academic Writing Skills
  • Authors: Van der Molen; Ackermann; Osseweijer; Schmidt; van der Wal; de Boer; Polak
  • Edition: 3rd

Summaries expected September 24th

Access: 
Public
Summary of Writing Psychology Research Reports by Starreveld - 1st edition - Exclusive
Summary of What is this thing called Science by Chalmers: 4th edition

Summary of What is this thing called Science by Chalmers: 4th edition

Does knowledge consist of facts that have come from experience? - Chapter 1

What is the common sense view of science?

In the first four chapters of this book, the statement "science is derived from facts" is critically analyzed. Throughout the book, this statement's meaning changes slightly. Facts are statements about the world that can be sensed. Facts are neither personal opinions nor speculative ideas. If the world is perceived accurately and without prejudice, the facts that are established are, therefore, a reliable and objective basis for science. Scientific knowledge is reliable and objective if the facts guide conclusive reasoning to laws and theories that make up the basis for scientific knowledge. Before the 17th century, science was primarily based on authorities such as the Bible and Aristotle. Due to people like Galileo, this idea changed in the 17th century. People started to see observation as the basis of science.

Empirists (such as Berkeley, Locke, and Hume) and positivists held the idea that we can see facts as indisputably correct through observation. It follows from this reasoning that knowledge derived from this is objective and reliable. However, it is doubtful that science is based on observable facts. The problem that arises following the statement that science can be deduced from the facts relates to:

  1. The nature of the 'facts' and the way in which scientists have access to those facts;
  2. The way in which laws and theories can be derived from the facts, once we know those facts.

Some believe that facts are at the basis of science because they have the following assumptions:

  • Facts are directly accessible through the senses to all unbiased observers;
  • Facts precede the theory and are independent of it;
  • Facts are
.....read more
Access: 
Public
What is the study field and working area of professional skills in pedagogics?

What is the study field and working area of professional skills in pedagogics?

Professional skills in pedagogy encompass the knowledge, abilities, and attitudes that educators and educational professionals need to effectively work with children, young people, and adults. These skills are essential for guiding learning processes, creating safe and stimulating learning environments, and ensuring the optimal development of individuals.

What are the main features of professional skills in pedagogics?

  • Scientific Foundation: Skills are based on research in learning, development, and effective teaching practices.
  • Reflection and Critical Thinking: Educators can reflect on their practice, critically evaluate their work, and continuously develop their knowledge and skills.
  • Communication and Collaboration: Effective communication with students, parents, colleagues, and others is crucial. Collaboration is key to creating optimal learning environments.
  • Diversity Awareness: Recognizing and valuing differences, educators can work effectively with learners from diverse backgrounds, cultures, and needs.
  • Ethics and Professionalism: Educators act in accordance with ethical principles and professional codes of conduct.

What are the most important sub-areas of professional skills in pedagogics?

  • Instructional Science: Teaching skills, lesson planning, assessment methods, learning processes.
  • Developmental Psychology: Cognitive, social, emotional, and physical development of children and young people.
  • Educational Sciences: Educational styles, parental involvement, managing challenging behaviors.
  • Classroom Management: Creating safe and stimulating environments, classroom management techniques.
  • Special Education: Supporting learners with special educational needs.

What are the most important concepts of professional skills in pedagogics?

  • Learning: How people learn in different ways and how to optimize learning processes.
  • Development: The stages of physical, cognitive, social, and emotional development.
  • Education: The principles and practices of effective teaching.
  • Inclusion: Creating learning environments where all students feel welcome, valued, and challenged.

Who are the most influential figures of professional skills in pedagogics?

  • John Dewey: American philosopher and educator, advocated for experiential learning.
  • Jean Piaget: Swiss psychologist, known for his theory of cognitive development.
  • Lev Vygotsky: Russian psychologist, emphasized the role of social interaction in learning.
  • Paulo Freire: Brazilian educator, proponent of critical pedagogy.
  • Maria Montessori: Italian physician and educator, developer of the Montessori method.

Why is professional skills in pedagogics important?

Professional skills in pedagogy are crucial for:

  • Promoting the optimal development of children, young people, and adults.
  • Guiding effective learning processes.
  • Creating safe and stimulating learning environments.
  • Addressing diversity and inclusion.
  • Acting ethically and professionally.

What are applications of professional skills in pedagogics in practice?

Pedagogical professionals with strong skills work in diverse settings, including:

  • Schools: Teachers, lecturers, educational support staff.
  • Early Childhood Education: Educators, childcare providers.
  • Youth Work: Youth workers, youth coaches.
  • Special Education: Educational support staff, pedagogues.
  • Other Educational Settings: Trainers, instructional designers, curriculum developers.
Access: 
Public

Image

Study & Intern Abroad

Organizations: for research and scientific work abroad

Organizations: for research and scientific work abroad

Image

Organizations: for research, R&D, data collection, data analysis and scientific work abroad

Activities, internships, paid work, services or volunteer work in research and science

From R&D to data collection and data analysis

Research and science abroad: by position

For job roles and duties related to activities, internships and jobs abroad, see:

Research and sciencific work abroad: favorite countries and destinations

What is insurance for studying abroad, and why should you take out specialized travel insurance for your education abroad?

What is insurance for studying abroad?

  • Insurance for studying abroad means that you take out insurance that continues to provide coverage during your studies, your education, and your related activities abroad.
  • Insurance for studying abroad is also referred to as study insurance. This study insurance is specifically for when you go abroad for a long period of time to take courses, study, or conduct research abroad.

Why should you take out specialized travel insurance for a study abroad?

  • Study insurance is specifically designed for studying abroad, whereas regular travel insurance policies may offer coverage on paper but handle this situation differently in practice.
  • Study insurance offers coverage for longer stays than regular (vacation) travel insurance.
  • Study insurance is also suitable for many types of activities, ranging from various sports to hiking at high altitudes.
  • Study insurance continues to provide coverage if you start working during your trip, whether planned or unplanned. If you have not taken out insurance before departure that allows you to work, there is no guarantee that you will be able to take out insurance abroad that provides coverage.
  • Study insurance continues to provide coverage if your own country's health insurance no longer provides coverage.
  • Student insurance also covers your healthcare costs above the rates in your own country; with regular insurance, you have to pay the extra costs yourself.
  • Student insurance can also continue to provide coverage if (study) visa issuers impose additional requirements on how you insure yourself, for example if you are going to the US and applying for a J-1 visa.
  • Student insurance continues to provide coverage if you are staying abroad for a longer period of time and want to visit your own country in between.

What is important to insure when you are going to study abroad?

  • That you have insurance that is valid in the country or countries where you are going to travel and work.
  • That you are adequately insured for the sports and activities you are going to participate in during your period abroad
  • That you are insured for emergency assistance and early return if something happens to you or your immediate family.
  • That your medical expenses are insured up to the actual cost and not just for the standard costs. The costs per medical treatment vary greatly between countries.
  • That you insure your luggage and take sufficient precautions against theft or damage.
  • That you are well insured against personal liability.
  • That you are well insured in case of accidents.
  • That you only insure yourself for legal assistance if there is an immediate reason to do so, unless coverage is already automatically included in the insurance.
  • That you pay close attention to choosing the right coverage when performing work alongside your studies.

Check out more about international insurances

Image

Share Experiences

Skills: suggestions, summaries and tips of Worldsupporters on values and skills improvement

Suggestions, summaries and tips of WorldSupporters related to competencies and skills improvement

 

 

What are the 13 conditions for balance and fulfillment in study, work and private life

What are the 13 conditions for balance and fulfillment in study, work and private life

Image

What are the 13 preconditions for balance and fulfillment in study, work and private life

  1. Help yourself by helping others
  2. Create perspective by opening new doors
  3. Don't give up but care about something
  4. Use your empathic skills
  5. Stay with yourself and leave that herd behind you
  6. Focus on your journey and not your destination
  7. Actively deal with your negative emotions
  8. Appreciate and celebrate your small successes
  9. Let others walk their own path
  10. Establish and maintain social contacts
  11. Feel unlimited and not limited
  12. Discover your qualities, take advantage of your opportunities and avoid cliffs
  13. Seek fulfillment in study, work, travel and the world around you

Signed en researched by

  • The JoHo WorldSupporter team

 

Glossary of Academic Skills for the Social and Psychological Sciences

Glossary of Academic Skills for the Social and Psychological Sciences

Chapter 1: Literature

 

Literature review A detailed overview of the significant literature available about your chosen topic, providing a discussion and critical evaluation, and using clear argument to contextualise and justify your research. (p. 4)

Peer review The process of evaluating an article by experts to ensure the article meets quality criteria before being accepted for publication. (p. 9)

Textbooks Written specifically for audiences such as students or professionals. Material usually presented in an ordered and relatively accessible form. Often draw on a wide range of sources including peer-reviewed academic journal articles. Useful, particularly as an introductory source to get an overview of your research topic and find out who are the recognised experts. (p. 10)

Peer-reviewed academic journal articles Provide detailed reports of research. Articles written by experts in the field and evaluated by other academics (peer reviewers) to assess quality and suitability. Pay rigorous attention to detail and verification of information. Usually contains extensive list of references. Before publication, have usually been revise in response to comments. This is the most useful type for your literature review. Not all academic journal articles are peer-reviewed. (p. 10)

Non-refereed academic journal articles Articles may provide detailed reports of research. Articles selected by an editor or editorial board with subject knowledge. Relevance and usefulness varies considerably. Beware of possible bias. (p. 10)

Professional and trade journal articles Articles written for members of professional or trade organisations, so related to their needs. Consist of a mix of news items and more detailed accounts of a practical nature. Articles rarely based on research, although some provide summaries of research. Can provide useful insights into practice, although may be biased. Need to be used with considerable caution. (p. 10)

Newspaper articles Articles written for members of public, most newspapers addressing a particular market segment. News presented is filtered dependent on events, priority being given to headline-grabbing stories that are likely to appeal to the readers. Good source of topical events and developments. May contain bias in reporting and coverage. (p. 10)

Conference proceedings Articles consist of selected papers presented at a conference, often published as a book or special edition of a journal. Usually peer-reviewed. Increasingly available online. Sometimes difficult to find. Very useful if the theme of the conference matches your research. (p. 10)

Reports Reports on specific topics written by academics and various organisations, including market research organisations and government departments. Beware of possible bias. May not have gone through same review process as peer-reviewed academic journal articles, but those from established organisations are often of high quality. Often difficult to access or expensive to purchase. Can be a useful source of information when

.....read more
Access: 
Public
Leadership competencies for implementing planned organizational change - Battilana, Gilmartin, Sengul, Pache & Alexander - 2010 - Artikel

Leadership competencies for implementing planned organizational change - Battilana, Gilmartin, Sengul, Pache & Alexander - 2010 - Artikel

De meeste leiderschapsstudies houden zich niet bezig met de complexiteit van intra-organisatorische processen, waaronder veranderingsimplementatie processen, die verschillende activiteiten met zich mee brengen. In deze studie wordt er beweerd dat het waarschijnlijk is dat managers verschillende activiteiten benadrukken in de geplande organisatieverandering implementatie, afhankelijk van de mix van hun leiderschapscompetenties.

Effectief leiderschap en de bekrachtiging van geplande organisatieverandering

In deze studie wordt het taak-georiënteerde en persoons-georiënteerde model gebruikt. Taak-georiënteerde vaardigheden zijn gerelateerd aan organisatie structuur, ontwerp en controle en het vaststellen van routines om organisatiedoelen en doelstellingen te halen. Persoons-georiënteerde vaardigheden omvat gedrag dat collaboratieve interactie tussen organisatiewerknemers stimuleert, een ondersteunend sociaal klimaat vaststelt en managementpraktijken stimuleert die gelijke behandeling van werknemers verzekert.

Effectiviteit van de twee verschillende soorten vereist verschillende, maar gerelateerde groepen bekwaamheden. Effectiviteit van taak-georiënteerd gedrag staat of valt met het vermogen om taakeisen duidelijk te maken en taken te structureren rondom de missie en doelen van de organisatie. Effectiviteit van persoons-georiënteerd gedrag berust op het vermogen om rekening te houden met anderen als ook het rekening houden met je eigen emoties en die van anderen. Afhankelijk van de mix van deze leiderschapscompetenties wordt er een verschillende nadruk gelegd op de activiteiten die nodig zijn bij het implementeren van organisatieverandering.

Deze activiteiten bestaan uit communiceren, mobiliseren en evalueren. Communiceren: activiteiten die leiders uitvoeren om de noodzaak van verandering uit te leggen en hun visie te delen met de werknemers. Mobiliseren: acties die leiders uitvoeren om support van collega’s te krijgen en de inwerkingtreding van nieuwe werkroutines te aanvaarden. Evalueren: maatstaven die leiders gebruiken om de impact van de implementatie te volgen en vast te stellen en veranderingen te institutionaliseren.

Communiceren van de noodzaak van organisatieverandering

Leiders die veranderingen doorvoeren moeten de noodzaak van deze verandering communiceren met hun werknemers. De werknemers moeten begrijpen waarom gedrag en routines moeten worden veranderd.

Hypothese 1a: leiders die meer persoons-georiënteerd zijn, zijn beter in het communiceren van de noodzaak van verandering dan andere leiders.

Hypothese 1b: leiders die meer taak-georiënteerd zijn, zijn minder goed in het communiceren van de noodzaak van verandering dan andere leiders.

Mobiliseren van anderen om verandering te accepteren

Tijdens implementatie moeten leiders hun werknemers mobiliseren om de veranderingen te accepteren en toe te passen in hun dagelijkse routines. Mobiliseren is moeilijk doordat er verschillende persoonlijke en beroepsdoelen zijn, en dus verschillende opvattingen over de verandering. Mobiliseren brengt zowel taak als persoons-georiënteerde vaardigheden met zich mee.

Hypothese 2a: leiders die meer persoons-georiënteerd zijn, zijn beter in staat werknemers te mobiliseren dan andere leiders.

Hypothese 2b: leiders die meer taak-georiënteerd zijn, zijn beter in staat werknemers te mobiliseren dan andere leiders.

Evalueren van de implementatie van de verandering

Leiders moeten evalueren in hoeverre organisatieleden routines, werkwijzen en gedrag uitvoeren dat

.....read more
Access: 
Public
How do stress, coping, adaptation and health affect personality? - Chapter 18 - Exclusive

How do stress, coping, adaptation and health affect personality? - Chapter 18 - Exclusive

Health psychology focuses on the influence of psychological and behavioral factors on health, often in combination with the environment. Stress is central to this.

What models of personality are there?

What is the interactional model?

The interactional model suggests that personality factors determine the impact of events, because they determine how someone deals with the situation. Personality would thus influence coping. How someone deals with an event determines the degree of stress caused by that event. However, a limitation of this model is that stable coping strategies have never been found.

What is the transactional model?

The transactional model does things differently. According to this model, personality has three potential effects:

  1. Personality can influence coping.
  2. Personality can affect how the person interprets an event.
  3. Personality can influence the event itself.

It is not the event that causes stress here, but rather how it is dealt with. This model is called transactional because of the person's influence on the event and the person's appreciation. There is mutual influence.

What is the health and behavior model?

A third model is the health and behavior model. This assumes that personality does not directly influence the degree of stress or illness, but that it indirectly influences stress or illness through certain behaviors, such as unsafe sex or overeating. The less healthy someone is, the greater the chance of experiencing more stress.

What is the disease and behavior model?

Another model is the disease and behavior model. In this model, disease is explained as the presence of an objectively measurable abnormal physiological process, such as fever, high blood pressure, or a tumor. Abnormal or sick behavior is about the way people behave when they think they are sick. Personality determines the degree of sick behavior, whether or not in combination with a real illness.

According to the predispositional model, associations exist between personality and illness because of a third variable that affects both, namely predisposition. The predisposition can exist for stable individual personality differences and for specific illnesses.

What is stress?

Stress is a subjective feeling that is the result of uncontrollable and threatening events (stressors). These are often extreme situations with unpleasant consequences that cannot be influenced. Stress can be divided into low sources of stress in daily life (daily hassles) and important life events (major life events). Major life events are associated with intensity, conflict and uncontrollability. Positive things can also be very stressful, for example a marriage, a move or a promotion. People with a lot of stress in their lives have many psychological and physiological symptoms. Possible responses to stress may include palpitations, increased blood pressure, sweaty hands and feet, and

.....read more
Access: 
Exclusive (for members with extra services and online access)

Image

Related topics and terms

Image SUMMARIES

Check or search summaries, tests and study assistance within topic: 'Research, science and statistics'

CHECK SUMMARIES (connected to Research, science and statistics)

Make a selection, to find more, or other, summaries and study assistance than you see below

Image Studiegids voor samenvattingen bij Testtheorie: Inleiding in de theorie van de psychologische test en zijn toepassingen van Drenth en Sijtsma
Samenvattingen bij Testtheorie: Inleiding in de theorie van de psychologische test en zijn toepassingen van Drenth en Sijtsma
Image What is a independent variable?
What is an independent variable? An independent variable is a variable used to examine, explain or predict differences in an outcome called the dependent variable. It is...
Image SPSS samenvatting
Deze bundel bevat een samenvatting van SPSS en is gebaseerd op de 24e versie. De volgende delen zijn beschikbaar:Wat is SPSS: een introductie (1)Definities en begrippen...
Image College-aantekeningen bij Methoden voor MTS 1 aan de Universiteit Utrecht - 2015/2016
College-aantekeningen bij Methoden voor MTS 1 aan de Universiteit Utrecht - 2015/2016
Image SPSS Hulp: verzameling samenvattingen, uitleg en gebruiksinstructies
Deze bundel bevat instructies voor het gebruik van het statistische programma SPSS (24e versie). Voor veel studies is SPSS het standaard programma voor het analyseren...
Image Testtheorie - Van Drenth (4e druk) - Hoofdstukken 1, 2, 3
De wetenschappelijke testontwikkeling kwam tot bloei in de 20e eeuw. Maar ook daarvoor werd er al aan vormen van testonderzoek gedaan. De ontwikkeling van...
Image Samenvatting van Clinical Interviews for Children and Adolescents van McConaughy - 2e druk
1. Welke rol spelen klinische interviews binnen veelzijdige assessment? 2. Welke strategieën helpen bij klinische interviews met kinderen? 3. Hoe praat je met kinderen...
Image Boeksamenvatting bij de 9e druk van Managerial Statistics van Keller
Boeksamenvatting bij de 9e druk van Managerial Statistics van Keller
Image Samenvatting Realistic Evaluation (Pawson & Tilley)
Deze samenvaatting bij Realistic Evaluation van Pawson & Tilley is geschreven in 2014 1e golfIn de jaren 60 van de vorige eeuw had het evaluatie onderzoek betrekking...
Image Why is my evil lecturer forcing me to learn statisics? - summary of chapter 1 of statistics by A. Field (5th edition)
StatisticsChapter 1Why is my evil lecturer forcing me to learn statistics? Initial observation: finding something that needs explainingTo see whether an observation is...
Summaries: home bundle

Content and contributions related to summaries, study assistance and study skills

...to help another, travel with care, work together, learn to share and inspire with your experience

Summaries: home page

Summaries: home page

Home page for the use of summaries on WorldSupporter

What is this page about?

  • Contents: information about using and finding summaries of study books, scientific articles, academic concepts and practice exams on WorldSupporter
  • Study areas: Business, Education, Health, Psychology, Law, Nature, Society and more
  • Languages: English, Dutch
  • Access: Public

Where to go next?

What to find below?

  • Summaries per study and study field
  • Summaries per type and form
    • How to use and find summaries, study notes en practice exams on JoHo WorldSupporter?
    • How and why would you use summaries?
    • Finding summaries practice exams on JoHo WorldSupporter
    • Quicklinks to fields of study for summaries and study assistance
  • Main theme pages for learn and study
  • FAQ: questions and answers about summaries
Access: 
Public
Summaries: per type and form

Summaries: per type and form

Home page for summaries by type and form

  • Summary sort: Study books, Scientific articles, Academic Concepts
  • Areas: Business, Education, Health, Psychology, Law, Nature, Society and more
  • Languages: English, Dutch
  • Access: This study guide contains exclusive and publicly available study materials
Access: 
Public
Exams: home page for exams, exam tips and study tips

Exams: home page for exams, exam tips and study tips

Taking and passing exams, using study tips and learning to study

What is this page about?

  • Contents: information for exams, exam tips and study tips on WorldSupporter
  • Study areas: Business, Education, Health, Psychology, Law, Nature, Society and more
  • Languages: English, Dutch
  • Access: Public, Exclusive

Where to go next?

What to find below?

  • Highlighted content concerning exams, exam tips and study tips
Access: 
Public
All summaries by study and subject

All summaries by study and subject

What are the main study fields for finding summaries, using study assistance and searching internships?

Study fields:

What are the main study fields for summaries in NL?

Studiegebieden:

Studie instellingen:

How to improve your study skills and pass exams?

Check for improving your study skills:

Check for getting study results:

How to study abroad?

How to find internships, volunteering and work abroad related to your study?

What are the Worldsupporter goals related to study and knowledge

Samenvattingen en studiehulp

Samenvattingen en studiehulp

Inhoudsopgave:

JoHo samenvattingen en studiehulp: studie en kennis
  • Wat is JoHo WorldSupporter en hoe kan je je aanmelden en toegang tot studiematerialen krijgen?
  • Wat zijn WorldSupporter samenvattingen en hoe kan je de samenvattingen voor jouw studie vinden?
JoHo samenvattingen en studiehulp: studiehulp en samenvattingen
  • Wat zijn de gerelateerde vakken op WorldSupporter voor samenvattingen, studiehulp, stages en uittreksels?
  • Wat zijn de beschikbare samenvattingen en studiehulpmaterialen per studiegebied en studierichting?
JoHo samenvattingen en studiehulp: samenhangende pagina's op WorldSupporter
JoHo samenvattingen en studiehulp: studiecompetenties en stagevaardigheden
  • Hoe kan je het effectief studeren, en hoe haal je een tentamen?
  • Welke vaardigheden heb je nodig, of kan je leren bij een stage?
JoHo samenvattingen en studiehulp: studeren, stage lopen en werken in het buitenland
  • Waar kan je meer vinden over je voorbereidingen als je langer naar het buitenland gaat?
  • Wat moet je doen als je verzekerd wil zijn tijdens een studie of stage of baan in het buitenland?
JoHo samenvattingen en studiehulp: studietips en ervaringen
  • Wat zijn de uitgelichte blogs, ervaringen en tips van andere WorldSupporters?
  • Wat zijn alle blogs organisaties, tips, samenvattingen en vacatures die verbonden zijn aan JoHo samenvattingen en studiehulp?
. ga hier verder naar de pagina
CHECK ACTIVITIES

Make a selection, to find more tips than you see below

Image Doe onderzoek naar de ontwikkeling, productie en verkoop van agrarische producten op een ecologische boerderij op de Filipijnen
Doe onderzoek naar de ontwikkeling, productie en verkoop van agrarische producten op een ecologisch verantwoorde, biologische boerderij op de Filipijnen
Image Do research on education, social work, urban planning or management for a NGO that is active in poor communities in India
Do research on education, social work, urban planning or management for a NGO that is active in poor communities in India.
Image Exchange knowledge on agriculture, food and development with an internship in India
Exchange knowledge on agriculture, food and development with an internship in India
Image Loop stage bij een internationale gezondheidsorganisatie in Parijs en help mee met het organiseren van wereldwijde conferenties!
Je loopt stage bij een internationale organisatie die zich wereldwijd inzet voor het voorkomen en terugdringen van long- en infectieziekten, zoals tuberculose en HIV,...
Image Zet je onderzoeksvaardigheden in bij een bedrijf in Spanje! Er zijn mogelijkheden voor stages en werkervaringsplaatsen binnen verschillende sectoren
Ga onderzoek doen bij een bedrijf in Spanje, er zijn mogelijkheden voor stage en werkervaringsplaatsen binnen verschillende sectoren Wat is het? Bij diverse Spaanse...
Image What is the difference between sampling error and sampling bias?
Both sampling error and sampling bias are important concepts in statistics, but they represent distinct phenomena that can affect the accuracy and generalizability of...
Image What are weaknesses of the Bayesian approach?
Weaknesses of the Bayesian approach are: The prior is subjective Bayesian analysis force people to consider what a theory actually predicts, but specifying the...
Image What are important elements of Bayesian statistics?
The three most important elements of Bayesian statistics are: The Prior: the relative plausibility of hypothesis, before seeing the data Likelihood: the predictive...
Image What is a confidence interval in null hypothesis significance testing?
An confidence interval is an interval brought out an algorithm that by repeated use gives an X% change to hold the true population value.
Image Statistiek in blok 1 staat niet los van de volgende blokken
Tip 1: Statistiek vormt voor veel studenten een struikelblok. Zorg er voor dat je vanaf het eerste college bijblijft. Als je vlak voor het tentamen te veel stof nog niet...
Activities abroad: home bundle

Main content and contributions for activities abroad

,,,accommodations, adventure activities, courses, internships, jobs and volunteer projects

...to help another, travel with care, work together , learn to share and inspire with your experience

 

Activities abroad: home page

Activities abroad: home page

From language courses to gap year abroad, from work experience to volunteering abroad, from paid work to internship abroad, from mountaineering to diving and from backpacking to travel around the world

    What social activities can you do abroad?

    • Opportunities are found in the areas of helping, learning or studying. You can get involved to volunteer in a social project at a school in Africa, Asia or Latin America. You can get involved in nature, in a project with animals or cleaning the sea or beaches. Those who want to learn more can choose for example a language course in Latin America, Spain or South Africa.

    What work related activities can you do abroad?

    • If you want to gain work experience, and/or also earn money, go and work abroad. You can combine backpacking in Australia with temporary work. You can work on campsites in Europe or bush camps in Africa. You can pretty much go all over the world to work in the hospitality industry, hotels and hostels, in the healthcare sector or for example at a diving school.

    What sports activities to do abroad?

    • Have you ever thought of mountain biking, rafting (going down a wild river on a raft or rubber dinghy, climbing or canoeing), survival (which involves building rafts, climbing or canoeing), abseiling (descending a rock face while secured to ropes), zip-lining (whizzing down a cable), canyoning (starting at the top of a river and then climbing, swimming, diving down the bed) or caving (scrambling, wriggling and crawling through caves and crevices)?
    • Maybe you feel more comfortable on a bodyboard (on a half-wave surfboard, you surf the high waves lying down-with flippers), on a hang glider or while paragliding (with a parachute you float down a mountain or dune), hydrospeeding (on a bodyboard with flippers and a wetsuit on you go down a wild river via rapids) or Tiefschneeskiing (racing down through powder snow)?

    Check the pages below for more activities and inspiration and where to go and how to arrange it

      Activities abroad: for experiencing countries and cultures abroad

      Activities abroad: for experiencing countries and cultures abroad

      Bundled content for experiencing countries and cultures during gap year, travel and backpacking abroad

      Access: 
      Public
      Activities abroad: for sports, adventure and outdoor abroad

      Activities abroad: for sports, adventure and outdoor abroad

      Bundled content for sports, adventure and outdoor during travel, gap year and backpacking abroad

      Access: 
      Public

      Image ORGANIZATIONS

      Check all organizations related to: 'Research, science and statistics'

      CHECK ORGANIZATIONS

      Make a selection, to find more or other organizations than you see below

      Image TNO
      TNO stands for Nederlandse Organisatie voor Toegepast-natuurwetenschappelijk onderzoek (Netherlands Organisation for Applied Scientific Research). TNO is an independent...
      Image Organizations for IT, engineering and construction
      Activities, internships, paid work, services or volunteer work in IT, webdevelopment, engineering and construction IT, engineering and construction abroad: by position...
      Image Organizations: for research and scientific work abroad
      Organizations: for research, R&D, data collection, data analysis and scientific work abroad Activities, internships, paid work, services or volunteer work in...
      Image Anton de Kom Universiteit van Suriname
      De Anton de Kom Universiteit van Suriname (AdeKUS) opende haar deuren in november 1968. Sinds 1983 draagt de Universiteit de naam van de antikoloniale verzetsstrijder...
      Image WISI (Wiskunde & Statistiek Inzichtelijk)
      Image Stage in Azie
      Bemiddelingsbureau voor stages in Maleisië voor business-studenten, communcatie & marketing studenten en IT & Data research studenten, met name bij MKB bedrijven...
      Organizations & Services: home bundle

      Bundled content, suggestions, stories and tips about organizations and their products and services

      ...to help another, travel with care, work together, learn to share and inspire with your experience

      Organizations: home page
      Organizations for administrative, tax and legal work and consulting

      Organizations for administrative, tax and legal work and consulting

      international law

      Activities, internships, paid work, services or volunteer work in administration, tax and legal consulting

      Administrative, tax and legal consulting abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for agriculture, grape picking, farming and vineyards
      Organizations: for animal protection, animal care and working with wildlife abroad
      Organizations: for au pairs, youth work and child care abroad
      Organizations: for bush camping and working at a campsite abroad
      Organizations: for catering, hospitality and entertainment abroad
      Organizations: for civil society and social work abroad
      Organizations for corporate business services

      Organizations for corporate business services

      Image

      Activities, internships, paid work, services or volunteer work in corporate business services

      Corporate business services abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for customer services abroad and help desks
      Organizations: for diving, snorkeling and water sports abroad
      Organizations: for education and schools abroad
      Organizations: for expatriate insurances, travel insurances, and emergency call centers
      Organizations: for gap year activities abroad and sabbaticals
      Organizations: for internship placement abroad
      Organizations: for insurances and finance abroad
      Organizations for IT, engineering and construction

      Organizations for IT, engineering and construction

      Image

      Activities, internships, paid work, services or volunteer work in IT, webdevelopment, engineering and construction

      IT, engineering and construction abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for language travel and language teaching abroad
      Organizations for marketing, communication and PR abroad

      Organizations for marketing, communication and PR abroad

      Image

      Activities, internships, paid work, services or volunteer work in marketing and communication

      Marketing, communication and PR abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for mediation in au pairs, childcare and elderly care in the Netherlands
      Organizations for moving, international relocation and transport abroad

      Organizations for moving, international relocation and transport abroad

      Image

      Activities, internships, paid work, services or volunteer work in transport and international relocation

      Moving abroad and relocation services abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:

      Moving abroad and relocation

      ......Read more on this page
      Organizations for nature conservation, environmental protection and working in nature abroad

      Organizations for nature conservation, environmental protection and working in nature abroad

      Costa Rica rain forest - Jungle

      Activities, internships, paid work, services or volunteer work in environmental protection, sustainability and nature conservation

      Nature conservation and environmental protection abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for nonprofit projects, development work and international cooperation
      Organizations: for online work as digital nomad, freelancer, or independent entrepreneur from abroad
      Organizations: for outdoor activities and sports
      Organizations: for providing accommodation and hospitality work in hotels, guesthouses, ecolodges and hostels abroad

      Organizations: for providing accommodation and hospitality work in hotels, guesthouses, ecolodges and hostels abroad

      Image

      Activities, internships, paid work, services or volunteer work in hotels, resorts, guesthouses, ecolodges, bed and breakfasts and hostels abroad

      Working in hospitality and tourist accommodations abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for providing healthcare and working in medical care abroad

      Organizations: for providing healthcare and working in medical care abroad

      Image

      Activities, internships, paid work, services or volunteer work in healthcare

      Providing healthcare and working in medical care abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for psychological assistance and mental health care abroad

      Organizations: for psychological assistance and mental health care abroad

      Image

      Activities, internships, paid work, services or volunteer work in psychological assistance, coaching and mental health care abroad

      Psychological assistance, coaching and mental health care abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for real estate, brokerage abroad and property rental abroad
      Organizations: for research and scientific work abroad

      Organizations: for research and scientific work abroad

      Image

      Organizations: for research, R&D, data collection, data analysis and scientific work abroad

      Activities, internships, paid work, services or volunteer work in research and science

      From R&D to data collection and data analysis

      Research and science abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page
      Organizations: for student support and student associations
      Organizations: for tour guidance and adventure tours abroad
      Organizations: for tourism and organized travel and leisure work abroad
      Organizations: for voluntary work mediation and project placement abroad
      Organizations for yacht and shipping crew and working on a cruise ship abroad

      Organizations for yacht and shipping crew and working on a cruise ship abroad

      Image

      Activities, internships, paid work, services or volunteer work on cruise ships, sailing yachts and other ships

      Boat crew, deck hand or working for an international shipping organization

      Working on a yacht or cruise ship abroad: by position

      For job roles and duties related to activities, internships and jobs abroad, see:
      ......Read more on this page

      Image

      SPOTLIGHT & FAVORITES

      FAVORITES
      UvA Methodologiewinkel Wiki

      Hulp nodig bij Statistiek en Onderzoeksmethoden? Check out de Methodologiewinkel van de Universiteit van Amsterdam! Op deze wiki vind je informatie over de statistische aspecten van wetenschappelijk onderzoek. Deze wiki is gemaakt door researchmaster studenten van de opleiding psychologie. Zij hebbe...

      Image ALL CONTENT OF TOPIC

      Search all related content within topic: 'Research, science and statistics'

      ALL CONTENT OF TOPIC

      Select any filter and click on Apply to see results

      Crossroad: spotlight pages
      Hoorcollegeaantekeningen: categorische of nominale variabelen

      Deze samenvatting is gebaseerd op het studiejaar 2013-2014.

      • College 6: Categorische of nominale onafhankelijke variabelen
      • College 7: Categorische of nominale variabelen
      • College 8: Interacties met categorische variabelen – vervolg
      • College 9: Repeated measur...

      Schrijfcodes: schrijf beter, corrigeer sneller
      • Uitleg bij het gebruik van deze samenvatting
      • 1. Structuur in je tekst
      • 2. Argumenteren op de juiste manier
      • 3. Duidelijk schrijven
      • 4. Aantrekkelijk schrijven
      • 5. De gepaste toon vinden
      • 6. Correct taalgebruik
      • 7. Spellingsregels
      Moving abroad?
      Page topic

      Research, science and statistics: summaries, study assistance and working experience abroad

      Submenu & Search

      Search only via club, country, goal, study, topic or sector