KINESIOL 3C03 Study Guide - Phi Coefficient, Effect Size, Abcd 2
1 May 2013
School
Department
Course
Professor
Document Summary
Parametric tests look at one parameter and how its correlated to other variables. Must satisfy several assumptions: independence, normality, homogeneity. Can fix and make a curve normal or put it into another distribution Cannot use parametric tests anymore once perfect normality is violated. Variances across groups and/or treatment conditions are reasonably similar. Often a problem in special populations research where one group (and the scores they generate) may be fundamentally different from another group. Often data do not fit these criteria nominal, ordinal (ranked) Hypothesis testing and associative analyses can be used on these data; most common are: chi square, spearman rank order correlation, mann-whitney u test, kruskal-wallace. Exercise physiology questionnaire data, rank orderings, inter-rater reliabilities, etc. Compares two or more sets of nominal data that have been arranged by frequency counts. There is no variability within a category: categories are mutually exclusive, all observations are of equal value.
