The coverage of a range of statistical techniques, including linear regression, logistic regression, and data reduction techniques such as cluster and factor analysis. The purposes, assumptions, and conduct of such analyses using a statistical software package for social sciences (e.g. SPSS, Stata, R) will be covered. Attention will be given to the decisions involved in data exploration and preparation for statistical modeling purposes. Students enrolling in this course are expected to have a solid background in undergraduate quantitative research methods, equivalent to CRIM 320.
The coverage of a range of statistical techniques, including linear regression, logistic regression, and data reduction techniques such as cluster and factor analysis. The purposes, assumptions, and conduct of such analyses using a statistical software package for social sciences (e.g. SPSS, Stata, R) will be covered. Attention will be given to the decisions involved in data exploration and preparation for statistical modeling purposes. Students enrolling in this course are expected to have a solid background in undergraduate quantitative research methods, equivalent to CRIM 320.
