SOCI 5112

Quantitative Sociology

0.5 credits · Graduate

2026–2027 · Quantitative Methods / Quantitative Sociology

Topics

analysis. Social phenomenon is complex in nature and can rarely be explained by one
variable. Classical methods that try to explain social phenomena by analyzing just one
variable at a time are inappropriate in most circumstances. A multivariate approach that
considers many variables simultaneously leads to greater insight and better understanding
of the complex social phenomena
analyzing social phenomena. Emphasis
of existing data sets
selecting correct analytical tools
assumptions underlying those tools. The statistics software used for data analysis is SPSS
how to use SPSS to analyze survey data and to interpret the results correctly

Oaks, CA: SAGE Publications.
2. Reynolds, H.T. 1988. Analysis of Nominal Data. Beverly Hills, California: SAGE publications.
3. Hildebrand, K. David, James D. Laing, and Howard Rosenthal. Analysis of Ordinal Data. Beverly Hills, California: SAGE publications.
4. Kim, Jae-On and C.W. Mueller. 1988. Factor Analysis: Statistical Methods and Practical Issues. Beverly Hills, California: SAGE publications.
5. Allison, D. Paul. 1984. Event History Analysis: Regression for Longitudinal Event Data. Beverly Hills, California: SAGE publications.

Winter 2026 · Quantitative Methods / Quantitative Sociology

analysis. Social phenomenon is complex in nature and can rarely be explained by one
variable. Classical methods that try to explain social phenomena by analyzing just one
variable at a time are inappropriate in most circumstances. A multivariate approach that
considers many variables simultaneously leads to greater insight and better understanding
of the complex social phenomena
analyzing social phenomena. Emphasis
of existing data sets
selecting correct analytical tools
assumptions underlying those tools. The statistics software used for data analysis is SPSS
how to use SPSS to analyze survey data and to interpret the results correctly

Oaks, CA: SAGE Publications.
2. Reynolds, H.T. 1988. Analysis of Nominal Data. Beverly Hills, California: SAGE publications.
3. Hildebrand, K. David, James D. Laing, and Howard Rosenthal. Analysis of Ordinal Data. Beverly Hills, California: SAGE publications.
4. Kim, Jae-On and C.W. Mueller. 1988. Factor Analysis: Statistical Methods and Practical Issues. Beverly Hills, California: SAGE publications.
5. Allison, D. Paul. 1984. Event History Analysis: Regression for Longitudinal Event Data. Beverly Hills, California: SAGE publications.

Sources