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JOHN TISAK

Professor
DEPARTMENT OF PSYCHOLOGY
B.A., Pennsylvania State University;
M.S., San Francisco State University;
M.A., Ph.D., University of California at Berkeley, 1984

Phone: (419) 372-2246

Email: jtisak@bgnet.bgsu.edu

Office: Room 331,Psychology Building

Research Interests:

  • Psychological measurement theory
  • Statistical and mathematical methodology
  • Longitudinal and lifespan modeling

 

As the primary methodologist in the psychology department, I work closely with the developmental faculty and students.

Currently, I am constructing mathematical/statistical models for psychological attributes which are measured longitudinally. In particular, I am interested in the development of human cognitive skills/abilities and intelligence throughout the life-span. Especially important in this endeavor are (1) the study of change; (2) the effects of interventions; (3) the stability of abilities; and (4) the correlates of change.

Additionally, I have research interests in multivariate statistical techniques, measurement, test theory, and research methodology.

Selected Publications:

Tisak, J., & Maynard, A. M., & Tisak, M. S. (in press). AIRA: Measurement of adolescents' judgments regarding intentions to respond to physical and verbal aggression. Aggressive Behavior.

Tisak, J., & Tisak, M. S. (2000). The permanency and ephemerality of psychological measures with application to organizational commitment. Psychological Methods, 5, 175-198.

Smith, C. S., Tisak, J., Hahn, S., & Schmieder, R. A. (1997). The measurement of job control. Journal of Organizational Behavior, 18, 225-237.

Courses Taught:

  • PSYC 270. Quantitative Methods I
  • PSYC 370. Quantitative Methods II
  • PSYC 667. Statistical Theory I
  • PSYC 668. Statistical Theory II
  • PSYC 761. Psychological Measurement I
  • PSYC 762. Psychological Measurement II
  • PSYC 763. Multivariate Methods I: Mean Structures
  • PSYC 764. Multivariate Methods II: Covariance Structures
  • PSYC 765. Developmental Models I: Theory
  • PSYC 766. Developmental Models II: Application