“Kievit et al. (2013). Simpson’s paradox in psychological science: A practical guide.” - Article summary
Simpson’s paradox states that the direction of an association at the population-level may be reversed within subgroups of that population. Inadequate attention to the Simpson’s paradox may lead to faulty inferences. The Simpson’s paradox can arise because of differences in proportions on subgroup levels compared to population levels. It also states that a pattern (association) does not need to hold within a subgroup.
The paradox is related to a lot of things, including causal inference. A generalized conclusion (e.g. extraversion causes party-going) might hold for the general population, but does not mean that this inference can be drawn at the individual level. A correlation across the population does not need to hold in an individual over time.
In order to deal with Simpson’s paradox, the situations in which the paradox occurs frequently have to be assessed. There are several steps in preventing Simpson’s paradox:
- Consider when it occurs.
- Explicitly propose a mechanism, determining at which level it is presumed to operate.
- Assess whether the explanatory level of data collection aligns with the explanatory level of the proposed mechanism.
- Conduct an experiment to assess the association between variables.
In the absence of strong top-down knowledge, people are more likely to make false inferences based on Simpson’s paradox.
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Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
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Scientific & Statistical Reasoning – Summary interim exam 3 (UNIVERSITY OF AMSTERDAM)
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Scientific & Statistical Reasoning – Summary interim exam 3 (UNIVERSITY OF AMSTERDAM)
- Discovering statistics using IBM SPSS statistics by Andy Field, fifth edition – Summary chapter 6
- Discovering statistics using IBM SPSS statistics by Andy Field, fifth edition – Summary chapter 8
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- Foster (2010). Causal inference and developmental psychology.” – Article summary
- “Pearl (2018). Confounding and deconfounding: Or, slaying the lurking variable.” - Article summary
- “Shadish (2008). Critical thinking in quasi-experimentation.” - Article summary
- “Kievit et al. (2013). Simpson’s paradox in psychological science: A practical guide.” - Article summary
- Dienes (2008). Understanding psychology as a science.” – Article summary
- “Marewski & Olsson (2009). Formal modelling of psychological processes.” - Article summary
- “Dennis & Kintsch (2008). Evaluating theories.” - Article summary
- "Furr & Bacharach (2014). Estimating and evaluating convergent and discriminant validity evidence.” - Article summary
- “Furr & Bacharach (2014). Estimating practical effects: Binomial effect size display, Taylor-Russell tables, utility analysis and sensitivity / specificity.” – Article summary
- “Furr & Bacharach (2014). Scaling.” - Article summary
- “Mitchell & Tetlock (2017). Popularity as a poor proxy for utility.” - Article summary
- “LeBel & Peters (2011). Fearing the future of empirical psychology: Bem’s (2011) evidence of psi as a case study of deficiencies in modal research practice.” - Article summary
Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
- Borsboom & Cramer (2013). Network analysis: An integrative approach to the structure of psychopathology.
- Borsboom et al. (2016). Kinds versus continua: a review of psychometric approaches to uncover the structure of psychiatric constructs.
- "Cohen on item response theory” – Article summary
- Cohen on the science of psychological measurement” - Article summary
- Coyle (2015). Introduction to qualitative psychological research.” – Article summary
- Dienes (2008). Understanding psychology as a science.” – Article summary
- Dienes (2011). Bayesian versus orthodox statistics: Which side are you on?” – Article summary
- Eaton et al. (2014). Toward a model-based approach to the clinical assessment of personality psychopathology.” – Article summary
- Foster (2010). Causal inference and developmental psychology.” – Article summary
- “Furr & Bacharach (2014). Estimating practical effects: Binomial effect size display, Taylor-Russell tables, utility analysis and sensitivity / specificity.” – Article summary
- "Furr & Bacharach (2014). Estimating and evaluating convergent and discriminant validity evidence.” - Article summary
- “Furr & Bacharach (2014). Scaling.” - Article summary
- “Gigerenzer & Marewski (2015). Surrogate science: The idol of a universal method for scientific inference.” - Article summary
- “Halpern (2014). Thinking, an introduction.” - Article summary
- “Kievit et al. (2013). Simpson’s paradox in psychological science: A practical guide.” - Article summary
- “LeBel & Peters (2011). Fearing the future of empirical psychology: Bem’s (2011) evidence of psi as a case study of deficiencies in modal research practice.” - Article summary
- “Marewski & Olsson (2009). Formal modelling of psychological processes.” - Article summary
- “Meltzoff & Cooper (2018). Critical thinking about research: Psychology and related fields.” - Article summary
- “Mitchell & Tetlock (2017). Popularity as a poor proxy for utility.” - Article summary
- “Nosek, Spies, & Motyl (2012). Scientific utopia: II. Restructuring incentives and practices to promote truth over publishability.” - Article summary
- “Pearl (2018). Confounding and deconfounding: Or, slaying the lurking variable.” - Article summary
- “Schmittmann et al. (2013). Deconstructing the construct: A network perspective on psychological phenomena.” - Article summary
- “Simmons, Nelson, & Simonsohn (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant.” - Article summary
- “Shadish (2008). Critical thinking in quasi-experimentation.” - Article summary
- “Dennis & Kintsch (2008). Evaluating theories.” - Article summary
- “Van der Maas, Kan, & Borsboom (2014). Intelligence is what the intelligence test measures. Seriously.” – Article summary
- “Willingham (2007). Decision making an deductive reasoning.” – Article summary
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Scientific & Statistical Reasoning – Summary interim exam 3 (UNIVERSITY OF AMSTERDAM)
This bundle contains everything you need to know for the fifth interim exam for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains both articles, book chapters and lectures. It consists of the following materials:
...Scientific & Statistical Reasoning – Article summary (UNIVERSITY OF AMSTERDAM)
This bundle contains all the summaries for the course "Scientific & Statistical Reasoning" given at the University of Amsterdam. It contains the following articles:
- “Borsboom & Cramer (2013). Network analysis: An integrative
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