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Research

 

My expertise in quantitative psychology includes interests in psychometrics and scale development, as well as in structural equation modeling (SEM), factor analysis, multilevel (i.e., hierarchical linear) modeling, and longitudinal data analysis. My research agenda focuses on two primary goals: First, I seek to develop, evaluate, and promote best practices in research methods and statistics, applying  advanced quantitative techniques to data that I have collected in my own research as well as to data on which I have collaborated with colleagues from across several other disciplines (e.g., clinical, developmental, and social psychology).

 

Second, I examine individuals’ attitudes toward and knowledge of science and evaluate science education. With assistance from undergraduate students in my Statistical Techniques and Attitudes toward Science (STATS) Lab, I examine predictors of attitudes toward and knowledge of evolutionary theory and climate change, and I test new methods that may increase knowledge and acceptance of these scientific domains.

Learn more about my research here:

Publications                 Presentations  

Seminars & Workshops            Supplemental Materials

      

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