## Workshops for Spring Quarter, 2018

**Logistic Regression in SAS**, May 7 from 9 a.m. to 12 noon in 5628 Math Sciences (Visualization Portal)

Description: This workshop will cover modeling binary outcome with logistic regression in SAS. We will discuss the logistic regression model, model building and fitting, interpretation of estimated parameters, assessment of model fit, graphing of model effects, and ROC analysis. This workshop does NOT cover ordinal or multinomial logistic regression. You can sign up here .

NOTE: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person.

**Introduction to Power Analysis**, May 14 from 9 a.m. to 12 noon in (Visualization Portal)

Description: This workshop will describe what statistical power is and describe steps that can be taken to increase power. The information needed to conduct power analyses for commonly-used statistical tests will also be discussed. The notes for the workshop can be found here ; you can sign up here .

NOTE: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person.

**A Practical Introduction to Factor Analysis**, May 21 from 9 a.m. to 12 noon in 5628 Math Sciences (Visualization Portal)

Description: This workshop will give a practical overview of exploratory (EFA) and confirmatory (CFA) factor analysis. EFA topics to be covered include factor extraction, principal components analysis, estimation methods, factor rotation, refining the factor structure, and generating factor scores for subsequent analyses. The latter portion of the seminar will introduce CFA topics such as identification and model fit, and present examples of a one, two and second order factor structure. SPSS will be used for the EFA portion of the seminar and Mplus will be used for the CFA portion. You can sign up here .

NOTE: All researchers are welcome to attend this workshop. However, there will be NO online component. Please sign up only if you can attend in person.

## Past Classes and Workshops Available Online

- Introduction to Stata 13/14
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 14
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Programming in Stata

- Introduction to SAS 9.4
- Programming Basics in SAS 9.4
- Analyzing and Visualizing Interactions in SAS 9.4
- Regression with SAS
- Logistic Regression in SAS
- Repeated Measures Analysis in SAS
- Applied Survey Data Analysis using SAS 9.4
- Multiple Imputation in SAS 9.4
- Survival Analysis Using SAS
- Using Arrays in SAS
- Introduction to SAS Macro Language

- Introduction to SPSS version 22 (point-and-click and syntax)
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Regression with SPSS
- Introduction to Regression with SPSS (Version 23)
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS

**Mplus and Latent Variable Analysis**

- Introduction to R
- Short Introduction to R
- Introduction to ggplot2
- R Data Management
- Repeated Measures Analysis in R

**Longitudinal Data Analysis**

- Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett
- Analyzing Longitudinal Data using Multilevel Modeling

**Power Analysis**

- Deciphering Interactions in Logistic Regression
- Regression Models with Count Data
- Statistical Writing

**Other**