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  Robert P. Tett, Ph.D.
 
Associate Professor
Room 307D, LH
600 S. College Ave.
University of Tulsa
Tulsa, OK  74104 
 
email:  robert-tett@utulsa.edu
phone:  918-631-2737
fax:  918-631-2833
 
 
 
 

 

 
  Courses Taught  
 
Course Number Course Title Course Description
3073 Industrial/Organizational Psychology  An examination of psychological techniques, principles, and theories applied to the study of individuals and groups within organizations. Topics include personnel selection, evaluation, performance, training, motivation, and leadership.
8113 Applied Multivariate Statistics  Covers applications and extensions of the general linear model. Typical topics include linear and non-linear regression analysis, confirmatory factor analysis, structural equation modeling, and meta-analysis. Students will apply techniques to contemporary psychological problems.
2023 Statistics for Behavioral Sciences  Provides a foundation in probability theory and statistical analysis of social science data. Emphasis on what various statistics do, when they might be useful, and how to compute the results. A balance between procedural and conceptual understanding is presented. Prerequisite: Psy 2253 or introductory psychology course.
7973 Seminar: Leadership  Provides an introduction to the major approaches to understanding, predicting, and measuring leadership in organizations. Specific topics include trait, style, situational, contingency, path-goal, transformational, and leader-member exchange approaches.
7441-9 Fieldwork in I/O Psychology  Practical, supervised work experience (i.e., internship) in private or public sector organizations. Emphasis differs across different placements.
8103 Personnel Testing & Selection  Examines theory and applications of employment testing. Students learn major selection procedures (e.g., interviews, personality and cognitive ability tests, biodata, assessment centers) as well as strategies for test validation. Other evaluation topics such as bias, fairness, and utility analysis are emphasized.
7973 Meta-Analysis  This course offers an introduction to the concepts and applications of meta-analysis, offering guidance in how to conduct meta-analysis and interpret meta-analytic research in the social sciences. Students will (a) read extensively on key issues in and classic applications of meta-analysis, (b) develop their own meta-analytic computation "program" using Excel, and (c) conduct an actual meta-analysis in an area of their choosing.

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  Research Interests  
Personality and job performance. My research interests focus primarily on how personality traits become expressed as job performance through interactions with particular situational features. More specific targets of study include (a) use of specific versus general measures in linking personality and job performance, (b) interpersonal compatibility in work groups, and (c) personality-oriented job analysis.

Managerial performance and its measurement. I have published on the development and validation of a comprehensive “hyperdimensional” taxonomy of managerial competence. I am currently developing a multi-perspective approach to understanding work performance, integrating questions bearing on content (what is performance?), process (how and when does it come to be?), function (why is it targeted for assessment?), and constituency (who provides the data?).

Emotional intelligence (EI) and its measurement. A primary question driving current efforts is whether EI is properly conceived as an ability, a personality trait, or a combination of both. Related issues include (a) the dimensionality of EI, (b) the role of response biases in self-reported EI, and (c) the validity of EI in relations with job performance, including increments beyond personality and ability.

In each of these lines of research, I am eager to collaborate with graduate students and invite their participation on projects of mutual interest.

 

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  Recent Publications
 
Tett, R. P., Fox, K. E., & Wang, A. Tett, R. P., Fox, K. E., & Wang, A. Tett, T. P., Fox, K. E., & Wang, A.  (2005). Development and validation of a self-report measure of emotional intelligence as a multidimensional trait domain. Personality and Social Psychology Bulletin, 31, 859-888.
Tett, R. P. & Burnett, D.  (2003). A personality trait-based interactionist model of job performance. Journal of Applied Psychology, 88, 500-517.
Tett, R. P. & Steele, J. R., & Beauregard, R. S.  (2003). Broad and narrow measures on both sides of the personality-job performance relationship. Journal of Organizational Behavior, 24, 335-356.
Tett, R. P., & Fox, K. E.  (2003). How to get ahead in academia: 12 easy steps to IO stardom. The Industrial-Organizational Psychologist, 41, 135-139.
Tett, R. P., & Murphy, P. J.  (2002). Personality and situations in co-worker preference: Similarity and complementarity in co-worker compatibility. Journal of Business and Psychology, 17, 223-243.
Tett, R. P., Guterman, H. A., Bleier, A., & Murphy, P. J.  (2000). Development and content validation of a “hyperdimensional” taxonomy of managerial competence. Human Performance, 13, 205-251.
Tett, R. P., & Guterman, H. A.  (2000). Situation trait relevance, trait expression, and cross-situational consistency: Testing a principle of trait activation. Journal of Research in Personality, 34, 397-423.
Tett, R. P., Jackson, D. N., Rothstein, M., & Reddon, J. R.  (1999). Meta-analysis of bi-directional relations in personality-job performance research Human Performance, 12, 1-29.
Tett, R. P.  (1998). Is Conscientiousness ALWAYS positively related to job performance? The Industrial-Organizational Psychologist, 36, 24-29.

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  Graduate Student Advisees
 
 
Student Name Email Address Graduate Degree Sought Date Program Entered
Apivat (Paul) Hanvongse apivat-hanvongse@utulsa.edu M.A. August 2005
Robert L. Mauldin robert-mauldin@utulsa.edu M.A. August 2005

 

   

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