Anré Venter

Anré Venter

Professional Specialist and Director of Undergraduate Studies

Ph.D., University of Notre Dame

  • Quantitative

(574) 631-6619

aventer@nd.edu

114A Haggar Hall,

Notre Dame, IN

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Dr. Venter's research interests fall in two broad areas: social and quantitative psychology. Within the domain of social psychology, he has examined the manner in which factors such as the affective quality and the valence of interactional outcomes influence how we form impressions of other people. More recently, he is focusing on the self – specifically on the issue of self complexity as a buffer against stress and depression in student-athletes when faced with forced retirement from athletics. Within the domain of quantitative psychology, his interests fall in the areas of statistical power within small sample research as well as issues of mediation and moderation.

Recent Publications

Sullivan, M.P., & Venter, A. (2010). Defining “Heroes” through Deductive and Inductive Investigations. Journal of Social Psychology, 150: 5, 471 – 484.

Michael Y. Lau, George S. Howard, Scott E. Maxwell, & Anre' Venter. (2009). Does Psi Exist? A Bayesian Approach to Assessing Psi Ganzfeld Data? European Journal of Parapsychology

Howard, G. S., Lau, M. Y., Maxwell, M. E., Venter, A., Lundy, R., & Sweeny, R.M. (2009). Do Research Literatures Give Correct Answers? Review of General Psychology

Sullivan, M.P., & Venter, A. (2005). The Hero Within: Inclusion of Heroes into the Self. Self and Identity, Vol 4(2), 101-111. 

Venter, A., Maxwell, S.E., & Bolig, E. (2002). Power in randomized group comparisons: The value of adding a single intermediate timepoint to a traditional pretest-posttest design. Psychological Methods, Vol. 7, No. 2, 194-209.

Venter, A. (2008), Self versus Other, Us versus Them: The Self as Root of Conflict. In R.E. Osborne & P. Kriese (Eds.), Global Community: Global Security. Value Inquiry Book Series Editions: Rodopi, Amsterdam: The Netherlands.

Zhu, W., & Venter, A. (2006). Analyzing data from Large and Small Data Sets. In T. M. Wood & W. Zhu (Eds.), Measurement Issues and Practice in Physical Activity. Human Kinetics Publishers. 

Venter, A., & Maxwell, S.E. (2000). Issues in the Use of Multiple Regression Analysis. In H.E.A. Tinsley & S. Brown (Eds.), Handbook of Applied Multivariate Statistics and Mathematical Modeling: A Comprehensive Guide for Applied researchers in the Biological Sciences, Social Sciences, and Humanities. Academic Press. 

Venter, A., & Maxwell, S.E (1999). Maximizing Power in Randomized Designs When Sample Size is Small. In R. Hoyle (Ed.), Statistical Strategies for Small Sample Research, (pp. 31 –58) Thousand Oaks: CA. Sage Publications, Inc.