SOCI 211 Chapter Notes - Chapter 15: Standard Deviation, Standard Error, Level Of Measurement
Document Summary
Numerical representation and manipulation of observations for the purpose of describing and explaining the phenomena that those observations reflect. Quantitative data analysis is almost always constructed using computer software programs. You have to codify your data in a numerical form so the program could read them. You don"t need to codify income or weight for instance since they would be in numerical form. Numerical representation can be assigned to any number of variables, Example: gender, for male and female, you change value to 1 and 2 for instance. The analysis of a single variable, for purpose of description. Frequency distributions, averages, and measures of dispersion would be examples of univariate analysis, as distinguished from bivariate and multivariate analysis which are more explanatory. Most basic format for presenting univariate data is a one-way distribution. This is often laid out in a table that records the number of cases observed for each of the attributes of some variable.