**Applied Survey Data Analysis using SAS 9.4**

Monday, April 10 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.

Description: This workshop covers descriptive analyses, both numerical and graphical, with both continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.

NOTE: All researchers are welcome to attend.

**Introduction to Mplus 7.4**

Monday, April 24 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.

Description: Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started using Mplus. Our aim is to orient participants to the basic structure, syntax, data and output associated with this package. Mplus version 7.4 will be used for this workshop.

NOTE: All researchers are welcome to attend.

**Analyzing and Visualizing Interactions in SAS 9.4**

Monday, May 1 from 9 a.m. to 12 noon in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes are here.

Description: This workshop introduces methods of analyzing interactions (moderated effects) in regression models: calculating, comparing and graphing simple effects and slopes. Specifically, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation. Examples include two- and three-way interactions in linear regression and two-way interactions in logistic regression. Although the concepts of moderation and interaction are reviewed in the seminar, some background in regression and moderation is recommended.

NOTE: All researchers are welcome to attend.

**Stata Data Management**

Monday, May 8 from 9 a.m. to 12 noon in in the Visualization Portal, Math Sciences 5628 sign up here. The workshop notes will be posted soon here.

Description: This workshop covers Stata commands and methods for common data management tasks, such as identifying data errors, identifying duplicated data, specifying missing values, working with string variables, labeling variables, creating new variables, merging datasets, processing data by groups and using loops for repetitive tasks. The workshops is focused on preparing data for statistical analysis.

NOTE: All researchers are welcome to attend.

**SAS Programming I**

Tuesday, May 2 through Thursday, May 4 from 9 a.m. to 5 p.m. in the Visualization Portal, Math Sciences 5628, sign up below.

Description: This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. This workshop will be presented by an instructor from SAS. This is the first of two workshops in preparation for the Base SAS Certification examination. We kindly ask that people sign up for both SAS Programming I and SAS Programming II, as these workshops are being offered as preparation for the Base SAS Certification exam.

NOTE: This event is open ONLY to those who are currently affiliated with the University of California.

**SAS Programming II**

Tuesday, June 20 through Thursday, June 24 from 9 a.m. to 5 p.m. in CLICC Classroom C, third floor of the Powell Library Building, sign up below.

Description: This workshop is for those who need to learn data manipulation techniques using SAS data and procedure steps to access, transform, and summarize SAS data sets. The course builds on the concepts that are presented in the Introduction to SAS Programming workshop and is not recommended for beginning SAS software users. In this hands-on workshop, you will learn how to control SAS data set input and output; combine SAS data sets; summarize, read and write different types of data; perform DO loop and SAS array processing; and transform character, numeric and date variables. This workshop will be presented by an instructor from SAS. This is the second of two workshops in preparation for the Base SAS Certification examination. We kindly ask that people sign up for both SAS Programming I and SAS Programming II, as these workshops are being offered as preparation for the Base SAS Certification exam.

NOTE: This event is open ONLY to those who are currently affiliated with the University of California.

Sign up here for both SAS Programming I and SAS Programming II.

## Past Classes and Workshops Available Online

- Introduction to Stata 13/14
- 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 Regression with SPSS (Version 23)
- 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
- Repeated Measures Analysis in SPSS
- Mediation and Moderation using the SPSS Process Macro
- Graphics using SPSS

**Mplus and Latent Variable Analysis**

**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**