Courses Taught:
Factor Analysis and Related Methods; Categorical Data Analysis; Introductory Psychological Statistics
Research Interests:
Professor Woods is a quantitative psychologist and member of the interdisciplinary Applied Statistics program. A general goal of her research is to improve the quality of tools used to measure psychological constructs, especially those related to anxiety disorders. She is interested in the analysis of categorical data, especially in the context of latent variables. Some recent projects are applications of latent variable models to measures of anxiety, to address questions about dimensionality, reliability, and validity. Currently, the majority of her work pertains to the development and implementation of novel procedures for fitting logistic item response theory models to enhance their applicability to measures of psychopathology.
Selected Publications:
Woods, C. M. (2006). Ramsay-curve item response theory to detect and correct for non-normal latent variables. Psychological Methods, 11, 253-270.
Woods, C. M. (2006). Careless responding to reverse-worded items: Implications for confirmatory factor analysis. Journal of Psychopathology and Behavioral Assessment, 3, 189-194.
Rodebaugh, T.L., Woods, C. M., Heimberg, R.G., Liebowitz, M.R., & Schneier, F.R. (2006). The Factor structure, item properties, and screening utility of the social interaction anxiety scale. Psychological Assessment, 18, 231-237.
Tolin, D. F., Woods, C. M., & Abramowitz, J. S. (2006). Disgust sensitivity and obsessive-compulsive symptoms in a nonclinical sample. Journal of Behavior Therapy & Experimental Psychiatry, 37, 30-40.
Woods, C. M., & Thissen, D. (2006). Item response theory with estimation of the latent population distribution using spline-based densities. Psychometrika, 71, 1-22. |
