Amanda Kay Montoya


I am an Assistant Professor at UCLA in the Department of Psychology - Quantitative Area. I received my PhD in Quantitative Psychology from the Ohio State University in 2018. My primary adviser was Dr. Andrew Hayes. I completed my M.A. in Psychology and my M.S. in Statistics at Ohio State in 2016. I graduated from the University of Washington with a B.S. in Psychology and a minor in Mathematics in 2013. My research interests include mediation, moderation, conditional process models, structural equation modeling, and meta-science.

Mediation, Moderation, and Conditional Process Analysis
Global School of Empirical Research Methods
08/27/18 - 08/31/18


Mediation, Moderation, and Conditional Process Analysis II
Global School for Empirical Research Methods
June 21 - 25, 2021
Meta-Analysis of Mediation Effects in Marketing Journals
Association for Consumer Research
October 28 - 31, 2021
Mediation, Moderation, and Conditional Process Analysis
Statistical Horizons
August 17 - 20, 2021



 Published at Addiction Biology, recent collaborations with the UCLA Additions Lab show how an alcohol self-administration task can be used to classify individuals as either motivated or unmotivated drinkers, and explore predictors of drinking status using random forests.

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Currently in press at Collabra, in collaboration with Dr. William Leo Donald Krenzer (Duke University), we explore how registered reports have mainly been found in psychology, explores the typical time in press for registered reports, and common barriers in adopting registered reports.