## S651 : Multivariate Analysis Of Social Science Data

### Class Description

This class deals with techniques referred to broadly as multivariate methods. We focuses on how these methods can be used to transform a set of related variables into a smaller number of more fundamental measures. This is sometimes referred to as "scaling". Examples of how these methods might be used include: multiple tests scores used to create a measure of ability; using variables for exposure to cultural events to create a scale of cultural capital; using questions about interactions with people having a mental illness to create a measure of social distance. Creating scales is often a critical first step in data analysis. Too often a simple summated scale, presented along with Crohnbach's alpha, is all that is done, possibly obscuring as much as it reveals. After reviewing methods such as multidimensional scaling, principal components, and cluster analysis, we focus on latent structure analysis (LSA). LSA includes exploratory factor analysis, confirmatory factor analysis, latent class analysis, item response models, and structural equation modeling. Assignment will involve exercises applying these models to real data.

### Class Information

**School/Department: **Sociology

**Semester(s): **Fall

**Class time: **
Tuesday, Thursday : 9:30-10:45AM

**Website: **http://www.indiana.edu/~jslsoc/teaching_soc651_MV.htm

**Capacity: ** 20

### Contact Information

**Instructor: **Scott Long - jslong@indiana.edu

**Other Contact(s): ** Scott Long - jslong@indiana.edu

### Other Details

**Prerequisites: ** Course in linear regression; course in regression for categorical outcomes

**Algebra Required?: ** yes

**Calculus Required?: ** concepts used

**Day(s) per week offered: ** MW

**Substantive Orientation: ** social science

**Statistical Orientation: ** applied

**Books used: ** Analysis of Multivariate Social Science Data, Second Edition by Bartholomew, Steele, Moustaki, and Galbraith

**Applied/Theoretical: ** applied

**Formal Computing Lab?: ** Yes

**Software Used: **
MPlus, Stata

**How the software is used: ** data analysis

**Problem Sets: ** yes

**Data Analysis: ** yes

**Presentations: ** no

**Exams: ** no

**Keywords: ** measurement; multivariate; factors analysis; IRT; LCA