Non-Parametric Tests of Statistical Significance
Learning Objectives
Upon completion of this comprehensive and engaging course, you will be able to:
- Compare the assumptions underlying parametric vs. non-parametric statistical tests
- Conduct a chi-squared test of frequencies using SPSS
- Conduct a power analysis for chi-squared tests of frequencies using G*Power
- Calculate and interpret the standardized effect size measure for chi-squared tests of frequencies (Cohen’s w)
- Conduct a chi-squared test of independence using SPSS
- Conduct a power analysis for chi-squared tests of independence using G*Power
- Calculate and interpret the standardized effect size measure for chi-squared tests of independence (Cohen’s w)
- Conduct a Wilcoxin-Mann-Whitney U-test using SPSS
- Use U critical value tables when sample sizes are small
- Describe the unique power circumstances of the Wilcoxin-Mann-Whitney U-test
- Calculate and interpret the common language effect size for Wilcoxin-Mann-Whitney U-tests (θ)
- Conduct a Kruskall-Wallis H-test and post-hoc pairwise comparisons using SPSS
- Describe the unique power circumstances of the Kruskall-Wallis H-test
- Calculate and interpret the standardized effect size measure for the Kruskall-Wallis H-tests (eta-squared)
- Explain the statistical problems associated with multiple tests of significance and p-hacking
- Compare the frequentist and Bayesian statistical frameworks
Instructor
Christian Geiser, PhD is a former Professor of Quantitative Psychology with expertise in structural equation modeling, longitudinal data analysis, latent class modeling, multitrait-multimethod analysis, and psychometric methods. Dr. Geiser completed his doctoral training in quantitative psychology from Freie Universität Berlin in Germany, after which time he served as a faculty member at both Arizona State University as well as Utah State University, where he served as Principal Investigator on grants funded by the National Institutes of Health (NIH). In his academic career, he has published 75 peer-reviewed journal articles, 15 book chapters, and 5 books from leading publish houses such as Springer and Guilford Press. His work has been cited over 7,000 times, and he currently serves as an Editorial Board Member on Journal of Personality. Dr. Geiser provides statistical consultation services and serves as Director of Education for Quantfish, an online statistics training platform for health and social scientists.
9888 Windy Hollow Rd
