Summaries: the best textbooks for statistics and data analysis methods summarized

Summaries of the best textbooks for statistics and data analysis methods

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Contents: a selection of summaries of the best textbooks for statistics and data analysis methods
Study areas: general statistics, business and economics, managerial statistics, psychological research, social sciences, psychometrics
Language: English
Access: Public, Exclusive

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for all summaries for data analysis: see Statistics and Data analysis Methods
for all summaries for statistics in NL: zie Samenvattingen voor statistiek, onderzoeksmethoden en SPSS

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Click on the topic of your interest, then use the links to go to the summaries

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Summary of Statistical Methods for the Social Sciences by Agresti - 6th edition - Exclusive

What are statistical methods? – Chapter 1
What kind of samples and variables are possible? – Chapter 2
What are the main measures and graphs of descriptive statistics? - Chapter 3
What role do probability distributions play in statistical inference? – Chapter 4
How can estimates for statistical inference be made? – Chapter 5
How do you perform significance tests? – Chapter 6
How do you compare two groups in statistics? - Chapter 7
How do you analyze the association between categorical variables? – Chapter 8
How do linear regression and correlation work? – Chapter 9
What type of multivariate relationships exist? – Chapter 10
What is multiple regression? – Chapter 11
What is ANOVA? – Chapter 12
How does multiple regression with both quantitative and categorical predictors work?

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Summary with Managerial Statistics by Keller

CHAPTER A: BASICS OF STATISTICS
CHAPTER B: GRAPHICAL DESCRIPTIVE TECHNIQUES
CHAPTER C: GRAPHICAL PRESENTATIONS
CHAPTER D: NUMERICAL DESCRIPTIVE TECHNIQUES
CHAPTER E: PROBABILITY
CHAPTER F: DISCRETE PROBABILITY DISTRIBUTIONS
CHAPTER G: CONTINOUS PROBABILITY DISTRIBUTIONS
CHAPTER H: SAMPLING DISTRIBUTIONS
CHAPTER I: ESTIMATION
CHAPTER J: HYPOTHESIS TESTING
CHAPTER K: HOW TO MAKE INFERENCES ABOUT A POPULATION
CHAPTER L: HOW TO MAKE INFERENCES ABOUT COMPARING TWO POPULATIONS
CHAPTER M: STATISTICAL TECHNIQUES INVOLVING NOMINAL DATA
CHAPTER N: REGRESSION AND CORRELATION
CHAPTER O: NONPARAMETRIC STATISTICS

CHAPTER A: BASICS OF STATISTICS

Statistics is a way to get information from data. There are two main branches of statistics:

Descriptive statistics, which are concerned with methods of

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Summary of Analysing Data using Linear Models by Van den Berg - 2022 edition

Summaries per chapter with Analysing Data using Linear Models

For summaries with all chapters of the 2022 edition of Analysing Data using Linear Models by Van den Berg, see the supporting content of this page

Table of content

Chapter 1 - What are variables, variation and co-variation?
Chapter 2 - How can we make inferences about a mean?
Chapter 3 - How can we make inferences about proportions?
Chapter 4 - What does linear modelling entail?
Chapter 5 - How can we make inferences about linear models?
Chapter 6 - What are categorical predictor variables?
Chapter 7 - What are the assumptions of linear models?
Chapter 8 - What should we do when the assumptions are not met?
Chapter 9 - What does moderation entail?
Chapter 10 - How do researchers use contrast in statistical analysis?

What are variables, variation and co-variation? - Chapter 1 - Exclusive

How can we make inferences about a mean? - Chapter 2 - Exclusive

How can we make inferences about proportions? - Chapter 3 - Exclusive

What does linear modelling entail? - Chapter 4 - Exclusive

How can we make inferences about linear models? - Chapter 5 - Exclusive

What are categorical predictor variables? - Chapter 6 - Exclusive

What are the assumptions of linear models? - Chapter 7 - Exclusive

What should we do when the assumptions are not met? - Chapter 8 - Exclusive

What does moderation entail? - Chapter 9 - Exclusive

How do researchers use contrast in statistical analysis? - Chapter 10 - Exclusive

How do we perform post hoc comparisons? - Chapter 11 - Exclusive

How do we perform linear mixed modelling? - Chapter 12 - Exclusive

How do we conduct linear mixed models for more than two measurements? - Chapter 13 - Exclusive

What are non-parametric alternatives for linear mixed models? - Chapter 14 - Exclusive

How is logistic regression conducted with generalised linear models? - Chapter 15 - Exclusive

How can generalised linear models be used for count data? - Chapter 16 - Exclusive

What does big data analytics entail? - Chapter 17 - Exclusive

Examtickets with Analysing Data using Linear Models by van den Berg - 2022 edition - Exclusive

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Summary of Discovering statistics using IBM SPSS Statistics by Field - 5th edition - Exclusive

Summary with Discovering statistics using IBM SPSS Statistics

Type: summaries per chapter
Book title: Discovering statistics using IBM SPSS Statistics
Author: Field
Edition: 5th edition
Study assistance: for all available super summaries, practice questions, bulletpoints and examtips with the book, go to Study Guide for summaries with Discovering statistics using IBM SPSS Statistics by Field
Access level: Exclusively for members with full online access

Read ahead for the summaries per chapter

What are the commonly used symbols in statistics? - Chapter 0 - Exclusive

Why does an evil teacher force students to learn statistics? - Chapter 1 - Exclusive

What does statistics consist of? - Chapter 2 - Exclusive

What are the limits of statistical research? - Chapter 3 - Exclusive

What does the SPSS statistics environment look like? - Chapter 4 - Exclusive

In which way can data be explored with graphs? - Chapter 5 - Exclusive

What is meant by the bias beast? - Chapter 6 - Exclusive

What is meant by a non-parametric test? - Chapter 7 - Exclusive

What is meant by the correlation between variables? - Chapter 8 - Exclusive

What are the main characteristics of the linear model? - Chapter 9 - Exclusive

How can two means be compared? - Chapter 10 - Exclusive

What is meant by moderation, mediation and multicategory predictors? - Chapter 11 - Exclusive

How are different independent means compared with each other? - Chapter 12 - Exclusive

What is meant by an ANCOVA? - Chapter 13 - Exclusive

What is meant by a factorial design? - Chapter 14 - Exclusive

What is meant by a repeated-measures design? - Chapter 15 - Exclusive

What are mixed designs? - Chapter 16 - Exclusive

What is meant by a MANOVA? - Chapter 17 - Exclusive

What are the main characteristics of an exploratory factor analysis? - Chapter 18 - Exclusive

How can categorical variables be analyzed? - Chapter 19 - Exclusive

What is meant by a loglinear analysis? - Chapter 20 - Exclusive

What is meant by multilevel linear models? - Chapter 21 - Exclusive

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Summary of Introduction to the Practice of Statistics by Moore a.o. - 10th edition - Exclusive

Summary with Introduction to the Practice of Statistics

Type: summaries per chapter
Book title: Introduction to the Practice of Statistics
Author: Moore, Mccabe and Craig
Edition: 10th edition
Study assistance: for all available super summaries, practice questions, bulletpoints and examtips with the book, go to Study Guide for summaries with Introduction to the Practice of Statistics by Moore a.o.
Acces level: Exclusively for members with full online access

Read ahead for the summaries per chapter

What are distributions in the realm of statistics? - Chapter 1 - Exclusive

What are statistical relationships? - Chapter 2 - Exclusive

How to collect data for the purpose of statistics? - Chapter 3 - Exclusive

What is probability theory? - Chapter 4 - Exclusive

What are sampling distributions? - Chapter 5 - Exclusive

What is statistical inference? - Chapter 6 - Exclusive

What are statistical inferences for distributions? - Chapter 7 - Exclusive

What are statistical inferences for proportions? - Chapter 8 - Exclusive

What are statistical inferences for categorical data? - Chapter 9 - Exclusive

What is regression? - Chapter 10 - Exclusive

What is multiple regression? - Chapter 11 - Exclusive

What is one-way ANOVA? - Chapter 12 - Exclusive

What is two-way ANOVA? - Chapter 13 - Exclusive

What is logistic regression? - Chapter 14 - Exclusive

What are non-parametric tests? - Chapter 15 - Exclusive

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Summary of Psychometrics: An Introduction by Furr - 4th edition - Exclusive

What is psychometrics? - Chapter 1
What is important when assigning numbers to psychological constructs? - Chapter 2
What are variability and covariability? - Chapter 3
What is dimensionality and what is factor analysis? - Chapter 4
What is reliability? - Chapter 5
How to empirically estimate the reliability? - Chapter 6
What is the importance of reliability? - Chapter 7
What is validity? - Chapter 8
How to evaluate evidence for convergent and divergent validity? - Chapter 9
What types of response bias are there? - Chapter 10
What types of test bias are there? - Chapter 11
What is a confirmatory factor analysis? - Chapter 12
What is the generalizability theory? - Chapter 13
What is the Item Response Theory (IRT) and which models are there?

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Summary of Research Methods in Psychology: Evaluating a World of Information by Morling - 4th edition - Exclusive

Summary with Research Methods in Psychology: Evaluating a World of Information

Type: summaries per chapter
Book title: Research Methods in Psychology
Subtitle: Evaluating a World of Information
Author: Morling
Edition: 4th edition
Study assistance: for all available super summaries, practice questions, bulletpoints and examtips with the book, go to Study Guide for summaries with Research Methods in Psychology: Evaluating a World of Information by Morling
Acces level: Exclusively for members with full online access

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What is the psychological way of thinking? - Chapter 1 - Exclusive

What are the different sources of information and why is scientific research the best source? - Chapter 2 - Exclusive

Which types of claims and validity can consumers of research interrogate? - Chapter 3 - Exclusive

What are the ethical guidelines for psychological research? - Chapter 4 - Exclusive

What are good measures in psychology? - Chapter 5 - Exclusive

How do we use surveys and observations? - Chapter 6 - Exclusive

How do we estimate the frequencies of behaviors and attitudes? - Chapter 7 - Exclusive

What is bivariate correlational research? - Chapter 8 - Exclusive

What is multivariate correlational research? - Chapter 9 - Exclusive

How can causal claims be evaluated with the help of experiments? - Chapter 10 - Exclusive

Where and how can we determine the influence of confounding and obscuring factors? - Chapter 11 - Exclusive

How do we deal with experiments that have more than one independent variable? - Chapter 12 - Exclusive

What are quasi-experiments and small-N designs? - Chapter 13 - Exclusive

Can we apply the results of a study to the real world? - Chapter 14 - Exclusive

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Summary of Statistical Methods for Psychology by Howell - 8th edition - Exclusive

Summary with Statistical Methods for Psychology

Type: summaries per chapter
Book title: Statistical Methods for Psychology
Author: Howell
Edition: 8th edition
Study assistance: for all available super summaries, practice questions, bulletpoints, and examtips with the book, go to Study Guide for summaries with Statistical Methods Psychology by Howell
Access level: Exclusively for members with full online access

Read ahead for the summaries per chapter

What are important concepts of research? - Chapter 1 - Exclusive

How can data be described and explored? - Chapter 2 - Exclusive

Why and how is the normal distribution used? - Chapter 3 - Exclusive

How can you test hypotheses? - Chapter 4 - Exclusive

What are the important basic concepts of probability? - Chapter 5 - Exclusive

When and how to use the Chi-square test? - Chapter 6 - Exclusive

How to test hypotheses about means? - Chapter 7 - Exclusive

What is the power of a statistical test? - Chapter 8 - Exclusive

How to calculate the relationship between variables? - Chapter 9 - Exclusive

Which other correlation techniques can be used? - Chapter 10 - Exclusive

How to apply the analysis of variance? - Chapter 11 - Exclusive

How to compare means for different treatment groups? - Chapter 12 - Exclusive

How to use the ANOVA for two or more independent variables? - Chapter 13 - Exclusive

How to apply the analysis of variance for repeated-measures designs? - Chapter 14 - Exclusive

What is the procedure for multiple regression? - Chapter 15 - Exclusive

How can the analysis of (co)variance be viewed as a special case of multiple regression? - Chapter 16 - Exclusive

When and how to use log-linear models? - Chapter 17 - Exclusive

Which techniques are used for resampling and nonparametric approaches to data? - Chapter 18 - Exclusive

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Summary with Statistics for Business and Economics by Newbold - 9th edition

How to describe data graphically? - Chapter 1
How to describe data numerically? - Chapter 2
How to use probability calculation? - Chapter 3
How to use probability models for discrete random variables? - Chapter 4
How to use probability models for continuous random variables? - Chapter 5
How to obtain a proper sample from a population? - Chapter 6
How to obtain estimates for a single population? - Chapter 7
How to estimate parameters for two populations? - Chapter 8
How to develop hypothesis testing procedures for a single population? - Chapter 9
What test procedurs are there for testing the difference between two populations? - Chapter 10
How to conduct a simple regression? - Chapter 11
How to conduct a multiple regression? - Chapter 12
What other

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Summary with the 15th edition of The Practice of Social Research by Babbie - Exclusive

Summary with Introduction to The Practice of Social Research

Type: summaries per chapter
Book title: The Practice of Social Research
Author: Babbie
Edition: 15th edition
Study assistance: for all available super summaries, practice questions, bulletpoints and examtips with the book, go to Study Guide for summaries with The Practice of Social Research by Babbie
Access level: Exclusively for members with full online access

Read ahead for the summaries per chapter

What is the book 'The Practice of Social Research' by Babbie about? - Chapter 0 - Exclusive

How are human inquiry and science conducted? - Chapter 1 - Exclusive

How are paradigms and theories used within the field of social research? - Chapter 2 - Exclusive

In what way do ethics and politics play a role within the field of social research? - Chapter 3 - Exclusive

How are research projects designed? - Chapter 4 - Exclusive

How do conceptualisation, operationalisation and measurement take place? - Chapter 5 - Exclusive

How do researchers apply indexes, scales and typologies within the field of social research? - Chapter 6 - Exclusive

What is the logic behind sampling? - Chapter 7 - Exclusive

How do researchers conduct experiments? - Chapter 8 - Exclusive

How do researchers conduct survey research? - Chapter 9 - Exclusive

How do researchers conduct qualitative field research? - Chapter 10 - Exclusive

What does unobtrusive research entail and how is it conducted? - Chapter 11 - Exclusive

How do researchers conduct evaluation research? - Chapter 12 - Exclusive

How is qualitative data analysis conducted? - Chapter 13 - Exclusive

How is quantitative data analysis conducted? - Chapter 14 - Exclusive

What is the logic behind multivariate data analysis? - Chapter 15 - Exclusive

What does the practice of social statistics look like? - Chapter 16 - Exclusive

What do the processes of reading and writing look like within the field of social research? - Chapter 17 - Exclusive

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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?

for all summaries for research: see Research, science and statistics or:
for all summaries for research in NL: zie Samenvattingen voor statistiek, onderzoeksmethoden en SPSS

What to read below?

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Summaries: the best textbooks for research methods and research design summarized

Summaries: the best textbooks for statistics and data analysis methods summarized

Summaries: the best textbooks for theory of science and philosophy of science summarized

Summaries: the best scientific articles for research, science and statistics summarized

Statistics samples: best definitions, descriptions and lists of terms

Summaries: the best definitions, descriptions and lists of terms for science and research

Statistics: suggestions, summaries and tips for understanding statistics

Statistics: suggestions, summaries and tips for encountering Statistics

Statistics: suggestions, summaries and tips for applying statistics

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

Summaries: the best textbooks for research methods and research design summarized

Summaries: the best textbooks for statistics and data analysis methods summarized

Summaries: the best textbooks for theory of science and philosophy of science summarized

Summaries: home page for statistics, research and science

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Summaries: home page for statistics, research and science

Summaries: the best textbooks for research methods and research design summarized

Summaries: the best textbooks for statistics and data analysis methods summarized

Summaries: the best textbooks for theory of science and philosophy of science summarized

Summaries: the best scientific articles for research, science and statistics summarized

Statistics samples: best definitions, descriptions and lists of terms

Summaries: the best definitions, descriptions and lists of terms for science and research

Statistics: suggestions, summaries and tips for understanding statistics

Statistics: suggestions, summaries and tips for encountering Statistics

Statistics: suggestions, summaries and tips for applying statistics

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