Within-Subject Mediation Analysis for Experimental Data in Cognitive Psychology and Neuroscience

Autor/inn/en	Vuorre, Matti; Bolger, Niall
Titel	Within-Subject Mediation Analysis for Experimental Data in Cognitive Psychology and Neuroscience
Quelle	50 (2018), S.2125-2143 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Zusatzinformation	ORCID (Vuorre, Matti) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Statistical Analysis; Hierarchical Linear Modeling; Cognitive Psychology; Neurosciences; Bayesian Statistics; Causal Models; Experiments; Hypothesis Testing + Suchen Sie Ihr Suchwort? Statistische Analyse; Kognitive Psychologie; Neuroscience; Neurowissenschaften; Neurowissenschaft; Kausalanalyse; Erprobung; Hypothesenprüfung; Hypothesentest
Abstract	Statistical mediation allows researchers to investigate potential causal effects of experimental manipulations through intervening variables. It is a powerful tool for assessing the presence and strength of postulated causal mechanisms. Although mediation is used in certain areas of psychology, it is rarely applied in cognitive psychology and neuroscience. One reason for the scarcity of applications is that these areas of psychology commonly employ within-subjects designs, and mediation models for within-subjects data are considerably more complicated than for between-subjects data. Here, we draw attention to the importance and ubiquity of mediational hypotheses in within-subjects designs, and we present a general and flexible software package for conducting Bayesian within-subjects mediation analyses in the R programming environment. We use experimental data from cognitive psychology to illustrate the benefits of within-subject mediation for theory testing and comparison. (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01