Associate Professor and Associate Chair
Office: PCD 4136
Ph.D. I/O Psychology University of Illinois at Urbana-Champaign, 2002
A.M. I/O Psychology University of Illinois at Urbana-Champaign, 1999
B.S. Physics University of New Orleans, 1991
My research focuses on the development and application of psychometric methods to practical problems in industrial organizational and educational settings. I have worked with university faculty and practitioners to develop and improve tests measuring constructs, such as job performance, personality, and cognitive ability. My colleagues and I have published papers on computer adaptive testing, differential item and test functioning (measurement bias), and issues related to faking in personality assessment. Courses I have taught at the university level include psychometrics, multivariate statistics, industrial organizational psychology, and introduction to social psychology.
|19683||PSY 4913||026||Directed Study|
Permit Required. S/U Only.
Meets with PSY 6217
Majors Only Meets with PSY 4931
|16032||PSY 6917||028||Directed Research|
Majors Only. S/U Only.
|16084||PSY 6971||033||Thesis: Master's|
|16200||PSY 7918||034||Directed Research|
Majors Only. S/U only.
|16264||PSY 7980||033||Dissertation: Doctoral|
Adm to Doc Candidacy Required. Majors Only.
Recent Journal Articles
Stark, S., & Chernyshenko, O.S. (2011). Computerized adaptive testing with the Zinnes and Griggs pairwise preference ideal point model. International Journal of Testing, 11, 231 – 247.
Stark, S., Chernyshenko, O.S., & Guenole, N. (2011). Can subject matter expert ratings of statement extremity be used to streamline the development of unidimensional pairwise preference scales? Organizational Research Methods, 14, 256 – 278.
Stark, S., Chernyshenko, O.S., Lee, W.C., Drasgow, F., White, L.A., & Young, M.C. (2011). Optimizing prediction of attrition with the U.S. Army’s Assessment of Individual Motivation (AIM). Military Psychology, 23, 180 – 201.
Stark, S., Chernyshenko, O.S., & Drasgow, F. (2011). Constructing fake-resistant personality tests using item response theory: High stakes personality testing with multidimensional pairwise preferences. In Matthias Ziegler, Carolyn MacCann, & Richard D. Roberts (Eds.). New Perspectives on Faking in Personality Assessments. NY: Oxford University Press.
Chernyshenko, O. S., Stark, S., & Drasgow, F. (2010). Individual differences, their measurement, and validity. In S. Zedeck (Ed.). APA Handbook of Industrial and Organizational Psychology, Vol. 2: Selecting and Developing Members for the Organization (pp. 117-151). Washington, DC: American Psychological Association.
Chernyshenko, O.S., & Stark, S., Prewett, M. S., Gray, A. A., Stilson, F. R., & Tuttle, M.D. (2009). Normative scoring of multidimensional pairwise preference personality scales using IRT: Empirical comparisons with other formats. Human Performance, 22, 105 – 127.
Lopez-Rivas, G.E., Stark, S., & Chernyshenko, O.S. (2009). The effects of referent item parameters upon DIF detection using the free-baseline likelihood ratio test. Applied Psychological Measurement, 33, 251 – 265.
Stark, S., Chernyshenko, O.S., & Drasgow, F. (April, 2011). Comparing nonadaptive and adaptive multidimensional personality tests using IRT. Paper presented at the 26th annual conference for the Society of Industrial and Organizational Psychology. Chicago, IL.
Stark, S., Chernyshenko, O.S., & Drasgow, F. (April, 2011). Adaptive testing with the multi-unidimensional pairwise preference model. Paper presented at the annual conference of the National Council on Measurement in Education. New Orleans, LA.
Chernyshenko, O.S., & Stark, S. (April, 2011). Empirical comparisons of nonadaptive and computerized adaptive forced-choice tests. Paper presented at the 26th annual conference for the Society of Industrial and Organizational Psychology. Chicago, IL.
Seybert, J.M., & Stark, S. (April, 2011). Generalized graded unfolding model DIF detection based on the differential functioning of items and tests framework. Paper presented at the annual conference of the National Council on Measurement in Education. New Orleans, LA.