HurtzLab encompasses the basic and applied research activities of Dr. Greg Hurtz, in collaboration with his students and professional colleagues
Please see the descriptions below for primary areas of current research, and visit the Recent Research page for a listing of publications and presentations.
Also visit Greg Hurtz on:
Google Scholar Citations: http://scholar.google.com/citations?user=7Zz4uhkAAAAJ&hl=en
CSUS I-O Program Website: http://www.csus.edu/psyc/graduate/industrial-organizational-psychology.html
Current Research in Industrial Psychology
This area of research focuses primarily on the development and use of psychological measures in the context of employment and occupational testing. Primary areas of current and recent projects include:
Licensure and certification tests measure specific knowledge, and sometimes skills, required for practice in specialty occupations or subdisciplines. Our recent research focuses on various aspects of developing and analyzing such tests, including application of classical test theory and Rasch/IRT models. We are currently conducting research into score validation methods such as seeking evidence of cheating or other aberrant response patterns, setting performance standards (cutoff scores) on tests by integrating expert judgment with IRT models, and automated test form assembly with classical and IRT methods.
Personality inventories have become popular in the employee selection context over the past couple decades, with much of the attention focused on the conscientiousness trait of the Big Five personality model. We are currently exploring subdimensions of conscientiousness and work ethic, and conducting research into cross-contextual (e.g., work, school, home) profiles of personality for individuals and how these profiles relate to context-specific outcomes.
Current Research in Quantitative Psychology
In this area of research we focus on exploring and evaluating measurement models and statistical models that are used in psychological research and practice. Primary areas of current and recent projects include:
Monte Carlo AnalysisMonte Carlo analysis involves the use of data simulation to evaluate the behavior and performance of statistical tests and indices. This is not so much an area of research for us, as it is a tool for supporting other areas of research. Using SPSS and other statistical software, we have recently used Monte Carlo analysis to help evaluate and select the best-performing statistical methods for a number of projects related to licensure/certification testing.
Effect-Size-Centered Analysis Strategies
Null-hypothesis significance testing has increasingly come under fire, with alternative strategies including Bayesian methods and methods focusing on effect sizes and confidence intervals. We are currently exploring strategies for using effect-size-centered methods as an alternative to traditional null-hypothesis testing.
Single-Subject Data Analysis
For years single-subject research methods have been used almost exclusively in the applied behavior analysis field, and standard practice has not involved much in the way of statistical analysis. We are exploring statistical strategies for supplementing the more standard graphical and visual analysis methods.