Correlation and Causation in the Study of Personality

By James J. Lee. 2012

110 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Genetics

View Paper: https://www.semanticscholar.org/paper/c8683f78609e9d0d6d5620f679f27e14b3c2502f

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In Experimental and Cognitive Psychology

In Genetics

Citations in the corpus

State of the aRt personality research: A tutorial on network analysis of personality data in R (2015, unknown): “Some researchers for instance consider factors as the common elements shared by many observable variables and not as their causes (e.g., Ashton & Lee, 2005; Funder, 1991; Lee, 2012).”
Dimensions of Normal Personality as Networks in Search of Equilibrium: You Can't like Parties if you Don't like People (2012, background): “Lee, Vision Lab, Department of Psychology, Harvard University, Cambridge, MA, USA. E-mail: jameslee@wjh.harvard.edu European Journal of Personality, Eur. J. Pers. 26: 441–442 (2012)”
Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data (2017, background): “personality psychology (Lee, 2012), and genetics (Munafò, Tilling, Taylor, Evans, & Smith, 2017).”
EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013, unknown): “10 by Breen and Karlson, this volume), econometrics (White and Chalak 2009), and the behavioral sciences (Shadish and Sullivan 2012; Lee 2012).”
TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS (2014, unknown): “It is for these reasons that graphical representations have become an indispensable second language in the health sciences (Glymour and Greenland, 2008; Vansteelandt and Lange, 2012) and are making their way towards the social and behavioral sciences (Chalak and White, 2011; Lee, 2012; Morgan and Wi”
Towards More Rigorous Personality Trait–Outcome Research (2016, background): “These questions were addressed in a relatively recent article in this journal (Lee, 2012) along with excellent open peer commentary.”
Collider scope: when selection bias can substantially influence observed associations (2016, background): “participation).(1,14) This can in principle lead to biased associations between these two traits.”
Recommendations for Increasing Replicability in Psychology † (2013, methodology): “…(Judd et al., 2012), respecting Copyright © 2013 John Wiley & Sons, Ltd. dependence within the data (e.g. in analyses of dyads, Kenny, Kashy, & Cook, 2006, or hierarchically nested data, Hox, 2010), and removing the influences of covariates, given appropriate theoretical rationale (Lee, 2012).”