SCS 2150 Lecture Notes - Lecture 16: Univariate Analysis, Central Tendency, Stata

• School: University of Ottawa
• Department: Social Sciences
• Course: SCS 2150
• Professor: ivan Katchanovski

Document Summary

Nominal variables: the only difference that exist between participants is being in one category or another. Cannot do arithmetic or mathematical operations with the categories. Example gender categories are male and female. Ordinal variables: the categories of the variable can be rank ordered. Distance or amount of difference between categories is not equal. Cannot do arithmetic of mathematical operations with the categories. Example: high enthusiasm, moderate enthusiasm, low enthusiasm (likert scale) Interval/ratio variables: distance or amount of difference between categories is uniform. Can do arithmetic and mathematical operations with the categories. Ratio variables have a 0 start position. Quantitive analysis (statistics) are used to analysis quantitative data. Is popular is academic and non-academic quantitive research. Univariate analysis: analysis of one variable at a time. Often, the rst step in analysis is to create the frequency tables for the variables of interest.