Jane A. Halpert, Ph.D.

Director, Industrial/Organizational Psychology Program
Department of Psychology
DePaul University
2219 N. Kenmore Avenue
Chicago, IL 60614
773-325-4265
jhalpert@depaul.edu

 

 

     Research Interests 

  • Validity of tests and retests
  • Employment discrimination
  • Gender-related issues in the workplace
  • Negotiation and decision-making         

 

     Selected Publications

                Halpert, J.A., and Burg, J.H. (1997)  Mixed messages: Co-               worker responses to the pregnant employee.  Journal of
               Business and Psychology,12(2), 241-253.

                Stuhlmacher, A.F., and Halpert, J.A.  (1998)   Perceived
               fairness of arbitration: The impact of decision strategies.
               Journal of Social Behavior and Personality, 13(2), 359-
               373.

                Hausknecht, J.P., Halpert, J.A., DiPaolo, N.T., & Moriarty,
               M.O. (in press).  Retesting in selection: A meta-
               analysis of practice effects for tests of cognitive ability.
               Journal of Applied Psychology.

 

     Teaching

  • Psychology 240 - Statistics I.  This course covers basic descriptive and inferential statistics.

       240 Syllabus

  • Psychology 340 - Statistics II.  Picks up where Statistics I leaves off and covers Oneway, Factorial, and Repeated Measures ANOVA, bivariate and multiple regression, and chi-square.

      340 Syllabus

  • Psychology 355 - Groups and Organizations.  Group dynamics applied to organizational settings.

      355 Syllabus

  • Psychology 448 - Concepts, Methods, and Ethics for Industrial/Organizational Psychology.  Introduces the basic ideas and techniques that are fundamental in employee selection, performance appraisal, and training.

 

  • Psychology 442 - Personnel Selection.  Recruitment, applicant screening, and human resource systems.

 

  • Psychology 419 - Factor Analysis and Structural Equation Modeling.  Covers exploratory factor analysis and principle components analysis using SPSS, and covariance structure analysis using LISREL.