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Amanda Kay Montoya
Assistant Professor
Ph.D.,
The Ohio State University
Primary Area:
Quantitative
Research and Teaching Interests:

My research focuses on improving the ability of psychology researchers to answer their questions of interest using sound statistical methods and by developing easy-to-use tools to encourage researchers to use the most advanced methods available. I have focused my research on mediation, moderation, conditional process models, structural equation modeling, and measurement including factor analysis and item response theory. I am also interested in improving our ability to conduct meta-science by developing statistical methods in meta-analysis, and understanding the impact of research practices on our ability to create replicable science.Additionally, I have previous experience and hope to continue my research focused on understanding and ameliorating issues of inequity in education, particularly for women in science,  technology, engineering, and mathematics.

I value critical thinking, development of practical skills, and the ability to translate from real-life research problems to statistical methods and back again. I aim to implement these values by using active learning strategies in my classroom, teaching multiple statistical programming languages, and focusing my teaching and student assessment on implementation and interpretation. In 2018-2019 I will be teaching Mediation Moderation and Conditional Process Analysis in Winter Quarter and Psych 100A (Psychological Statistics) in Spring Quarter. I hope to teach introductory statistics courses at the graduate and undergraduate level, including ANOVA and regression, as well as specialized courses in Mediation, Moderation and Conditional Process Analysis, Nonparametric Statistics Using Resampling, and Generalized Linear and Mixed Models.

Biography:

Amanda Kay Montoya started as an Assistant Professor of Psychology at UCLA in July 2018. She received her PhD in Quantitative Psychology from the Ohio State University under the supervision of Dr. Andrew Hayes. She completed her M.A. in Psychology and M.S. in Statistics at Ohio State in 2016. She graduated from the University of Washington with a B.S. in Psychology and a minor in Mathematics in 2013. Her hobbies include rock climbing, aerial circus arts, and exploring different cuisines.

Representative Publications:

Montoya, A. K. (in press). Moderation analysis in two-instance repeated-measures designs: Probing methods and multiple moderator models. Behavior Research Methods.

Montoya, A. K. (2018). Probing moderation analysis in two-instance repeated-measures designs. Multivariate Behavior Research53 (1), 140 - 141 [Abstract].

Dohle, S., & Montoya, A. K. (2017). The dark side of fluency: Fluent names increase drug dosing. Journal of Experimental PsychologyApplied23 (3), 231 - 239.

Stojek, M. K., Montoya, A. K., Drescher, C., Newberry, A., Sultan, Z., Williams, C. F., Pollock, N. K., & Davis, C. L. (2017). Fitness, sleep-disordered breathing, symptoms of depression, and cognition in inactive overweight children: Mediation models. Public Health Reports132 (Supplement 2), 65S - 73S.

Hayes, A. F., Montoya, A. K., & Rockwood, N. J. (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Australasian Marketing Journal25 (1), 76 - 81.

Montoya, A. K., & Hayes, A. F. (2017). Two-condition within-participant statistical mediation analysis: A path-analytic framework. Psychological Methods22 (1), 6-27.

Cheryan, S., Ziegler, S., & Montoya, A. K., Jiang, L. (2017). Why have women entered some STEM fields more than others? Psychological Bulletin143 (1), 1-35.

Hayes, A. F., & Montoya, A. K. (2017). A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression. Communication Methods and Measures11 (1), 1-30.