Statistics for Experimental Research

Course Description: 

Core Course

Course Description

This course will cover the basic topics of Experimental Statistics and Research Methods for Behavioral Sciences.  It will comprise the subjects of scales, descriptive statistics, frequentist inferential statistics including independent and repeated measure t-tests, one- and two-way ANOVAs, effect sizes, correlational and regression analysis, and selected nonparametric methods.  In addition, the basics of Bayesian statistics will be introduced and contrasted with frequentist statistics.  The course will also survey the details of designing, conducting, analyzing, interpreting, and communicating scientific psychological research.  Finally, students will learn how to use SPSS for statistical analysis.

Learning Outcomes: 

Learning Outcomes

  • Being able to plan and design an experimental study
  • Understanding why and when you need statistics
  • Knowing enough to evaluate appropriateness of use of statistics in Results sections of research papers
  • Being able to select and perform correct statistics for your own data

for Grade


Course Requirements

The final grade will be determined roughly by the following weighting:

  • Exam (to be conducted on the week following the semester): 75%
  • Assigned study reports: 25%

Required Materials:

    • Gravetter, F. J., & Wallnau, L. B. (2009). Statistics for the Behavioral Sciences (8th ed.).  Belmont: Wadsworth. (G&W)
    • Provided pdfs
    • Calculator (cheap - adds, subtracts, multiplies, divides