EDKP 443 Lecture Notes - Lecture 13: Parametric Statistics, Nonparametric Statistics, Statistical Hypothesis Testing

• School: McGill University
• Department: Kinesiology and Physical Ed
• Course: EDKP 443
• Professor: Lindsay Duncan

Document Summary

Different types of statistical analyses in quantitative research: specific type of test depends on research question, and design of study. Find most appropriate statistical test for a chosen experimental design. Chi square is most common of non-parametric statistical test. Unless substantially skewed, can use parametric statistics. Type of analysis done is linked closely to research done and data collected: pinpoint numbers you need to know. Technique used to determine relationships between two variables. Coefficient of correlation: 0. 00 1. 00, can be positive or negative. If there are more than 2 variables, do regression equation instead of correlation. Interest in performance on a figure skating team. Measuring variables at one point in time does not give causation. Performance and back pain are changing together. With increases in back pain gives a greater decrease in performance. Significance (p: pre-selected by researchers in advance (alpha) Examine relationships between more than two independent variables. Prediction of the relationship between the dependent and independent variables.