SOAN 2120 Lecture Notes - Lecture 18: Analysis Of Variance, Descriptive Statistics, Statistical Significance

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 2120
• Professor: D Walters

Document Summary

Table: bivariate statistics (ex: crosstabs, comparing means or correlations) Before you run any analyses, weight your data using the weight variable in spss. In spss:data weight cases weight cases by (select the weight variable at the end of the list weight ok. For categorical variables (gender)analyze descriptive statistics frequencies sex ok. Analyze descriptive statistics descriptives dvr47gr1 statistics click mean . For quantitative variables; sometimes we need to know the way the variable is coded. In spss data editor go to variable view find the variable (dvr47gr1) click on values. This will give you a list of the correspondence between coded values and actual earnings. But the mean (category) corresponds w ,000-,999 (note: the analysis includes those without any income category 0) In spss: analyze general linear model univariate dependent variable: dvr47gr1 fixed factor: dvsex options click parameter estimates continue . Avg yearly earnings for males = 5. 597 + 3. 225 = 8. 822 (,000-,999)