Assistant Professor |
28A McAlester Hall
My interests blend psychometrics with mathematical psychology, yielding some research that falls squarely into one of these areas and some research that is a combination of the two. On the psychometric side, I am developing new tests of measurement invariance and studying model evaluation measures. This work can help us decide whether educational tests of ability (or other scales) consistently assign scores to diverse groups of individuals.
On the mathematical psychology side, I am interested in subjective probability, forecast aggregation, and forecast evaluation. I am developing models that can yield improved forecasts on diverse topics, from world political events to laboratory category learning studies.
My work has been funded through grants from the National Science Foundation and the Intelligence Advanced Research Projects Activity. For more detail on my work on statistical methods for assessing measurement invariance in psychometric models (including papers and R code), see here and my personal page.
|2005||PhD, Quantitative Psychology, Ohio State University|
|2004||MS, Statistics, Ohio State University|
|2003||MA, Psychology, Ohio State University|
|2000||BA, Psychology, Ohio University|
Full publication list is at http://faculty.missouri.edu/~merklee/
Merkle, E. C. & Zeileis, A. (2013). Tests of measurement invariance without subgroups: A generalization of classical methods. Psychometrika, 78, 59-82.
Preacher, K. J. & Merkle, E. C. (2012). The problem of model selection uncertainty in structural equation modeling. Psychological Methods, 17, 1-14.
Merkle, E. C. (2009). The disutility of the hard-easy effect in choice confidence. Psychonomic Bulletin & Review, 16, 204-213.
Merkle, E. C. & Van Zandt, T. (2006). An application of the Poisson race model to confidence calibration. Journal of Experimental Psychology: General, 135, 391-408.