APA 2534 Lecture Notes - Lecture 12: Multivariate Analysis, Likert Scale, Data Analysis

• School: University of Ottawa
• Department: Human Kinetics
• Course: APA 2534
• Professor: Marijke Taks

Document Summary

Data analysis is carried out after data collection; however decision about what techniques will be used should be made before data collection. The analysis of numerical data is built on two basic dimensions: The type of variables (levels of measurement): nominal, ordinal. The number of variables in the analysis: univariate (one variable, bivariate (two variables, multivariate (three or more variables) The only difference that exists between participants is being in one category or another: categories cannot be ordered by rank, cannot do arithmetic or mathematical operations with the categories. The categories of the variable can be rank ordered: for example, very unhappy, unhappy, ok, happy, very happy (likert scale, distance between categories may not be equal, cannot do arithmetic or mathematical operations with the categories, except comparison. Interval: distance or amount of difference between categories is uniform (e. g. , 0 siblings, 1 sibling, 2 siblings, etc. , can do arithmetic and mathematical operations with the categories (e. g. , 1 sibling + 3 siblings.