[From the Archives] Ep 91: Dr. Mary Ellen Dello Stritto and Dr. William Marelich on the Applied Quantitative Perspective

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

n this episode, Dr. Mary Ellen Dello Stritto is joined by Dr. William D. Marelich, a Professor of Psychology at California State University, Fullerton, and consulting statistician for Health Risk Reduction Projects, Integrative Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles. His research interests and publications address decision-making strategies in health settings, patient/provider interactions, HIV/AIDS, and statistical/methodological approaches in experimental and applied research. Dr. Marelich is coauthor of the book “The Social Psychology of Health: Essays and Readings” and is an Editorial Board Member of the International Journal of Adolescence and Youth. He also has an interest in Sports Psychology with applications to baseball.

Segment 1: Applied Quantitative Perspective [00:00-10:43]

In this first segment, William discusses the applied quantitative perspective in research.

In this segment, the following resources are mentioned:

• Marelich, W. D., & Erger, J. S. (Eds.). (2004). The social psychology of health: Essays and readings. Thousand Oaks, CA: SAGE Publications.
• International Journal of Adolescence and Youth

Segment 2: Key Quantitative Concepts [10:44-19:38]

In segment two, William offers his perspective on key statistical concepts to understand for reading research reports and publications.

Segment 3: On the Statistical Horizon [19:39-28:35]

In segment three, William discusses statistical software and the concepts of p-hacking and p-curves.

In this segment, the following resources are mentioned:

• R (free statistical software)
• IBM SPSS
• SAS
• Articles related to p-Curve and p-Hacking:
  • Cumming, G. (2016). A primer on p-Hacking. MethodSpace. Retrieved from https://www.methodspace.com/primer-p-hacking/
  • Bruns S. B., & Ioannidis, J. P. A. (2016). p-Curve and p-Hacking in observational research. PLoS ONE 11(2): e0149144. https://doi.org/10.1371/journal.pone.0149144

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