Quantitative Methods

Many clinical psychology students develop deep interests in quantitative methods and take advantage of the advanced coursework provided by the Department’s outstanding Quantitative Psychology doctoral program.  Quantitative faculty currently have ongoing research programs in the development of statistical methodologies for mediational analysis, multi-level modeling, the evaluation of the performance of structural equation models under violations of assumptions, research design strategies under conditions of self-selection and attrition, cross-group measurement equivalence, measurement bias in psychological tests, testing and interpreting statistical interactions and the longitudinal growth modeling of psychological constructs.  These topics have direct application to psychological assessment, longitudinal research in developmental psychopathology, research on theoretical models, and the evaluation of psychotherapy and preventive interventions. Interested students should visit the Quantitative Psychology program’s webpages.