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Alumni

2020, PhD of Psychology, University of Massachusetts at Amherst

2016, MS of Psychology, University of Massachusetts at Amherst

2011, BS of Psychology, University of California at San Diego

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Advisor: 

David Huber, PhD

Laboratory Website: 

http://people.umass.edu/whopper

Research Area(s): 

Cognition and Cognitive Neuroscience

Center and Institute Affilitation: 

Initiative in Cognitive Science

Dissertation: 

Testing the convergent retrieval learning theory of testing effects

Masters Thesis: 

The Primary and Convergent Retrieval Model of Memory

 

 

Teaching

Psych 240: Statistics In Psychology *

An introduction to statistics designed to give undergraduates the ability to understand basic analysis techniques used in psychological research. We cover basic probability theory, calculating descriptive statistics, creating and interpreting simple data visualizations, correlation and regression, and hypothesis testing using t-tests and chi-squared tests. We use the R statistical computing environment thoughout the course to illustrate important concepts and analyze data.

Psych 241: Research Methods *

This course gives a comprehensive overview of research methods in psychology. We cover independent groups, repeated measures, and factorial experimental designs, along with observational and single case studies. We also cover statical methods to analyze data collected from experiments, including regression and multi-factor ANOVA with interactions. Students will conduct small research projects in groups, analyze the data and write an APA style report of the results.

Psych 640: Graduate Statistics *

This two-semester course is designed to teach graduate students in psychology a theoretical understanding of the fundamental descriptive and inferential statistical techniques used in experimental psychology. Additionally, students are given practical instruction about how to perform analyses using these techniques on real datasets. This practical instruction uses the R statistical computing environment, and students are also taught basic programming skills in the R language.

* Denotes course taught as lab TA

Publications

2019

Hopper, W. J., & Huber, D. E. (2019). Testing the primary and convergent retrieval model of recall: Recall practice produces faster recall success but also faster recall failure. Memory & Cognition, 1–26. https://doi.org/10.3758/s13421-019-00903-x

2018

Hopper, W. J. & Huber, D. E. (2018). Learning to recall: Examining recall latencies to test an intra-item learning theory of testing effects. Journal of Memory and Language

2016

Hopper, W. J. & Huber, D. E. (2016). The Primary and Convergent Retrieval Model of Recall. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 1235-1240) Austin, TX: Cognitive Science Society.

2015

Huber, D. E., Tomlinson, T. D., Jang, Y., & Hopper, W. J. (2015). The search of associative memory with recovery interference (SAM-RI) memory model and its application to retrieval practice paradigms. In Cognitive Modeling in Perception and Memory: A Festschrift for Richard M. Shiffrin. Psychology Press, ch. 5.2014

Hopper, W.J., Finklea, K.M., Winkielman, P., & Huber, D.E. (2014). Measuring Sexual Dimorphism with a Race-Gender Face Space. Journal of Experimental Psychology: Human Perception and Performance.