## Workshops for Winter Quarter, 2018

**Data Management in R**: Wednesday, January 10 from 1 to 4 p.m. in the Research Commons classroom (RC), Charles E. Young Research Library

Description: This seminar introduces R packages and functions that help users import, transform and manage their data in preparation for analysis. The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed. Topics include data import, transforming variables, string functions, missing data, merging datasets, reshaping data, grouped data processing, and looping. Sign up at http://www.library.ucla.edu/support/research-help/attend-research-workshop/advanced-research-workshop-series-0 .

**Introduction to Statistical Software**: Wednesday, Februray 7 from 2 to 4 p.m. in the Research Commons classroom (RC), Charles E. Young Research Library

Description: This hands-on workshop will introduce some commonly used statistical software packages, including R, SAS, SPSS and Stata. Sign up at http://www.library.ucla.edu/support/research-help/attend-research-workshop/advanced-research-workshop-series-0 .

**Introduction to Mplus 8**: Monday, February 12 from 9 a.m. to 12 noon in the Visualization Portal, Math Science 5628

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 8 will be used for this workshop. The notes are located at https://stats.idre.ucla.edu/mplus/seminars/mplus-class-notes/ . Sign up at https://idre.ucla.edu/calendar-event/introduction-mplus-8-1 only if you are able to attend in person; there will be no online component to this workshop.

NOTE: All researchers are welcome to attend.

**Using the MIXED command in SPSS**: Monday, February 26 from 9 a.m. to 12 noon in the Visualization Portal, Math Science 5628

Description: This seminar will illustrate the different kinds of models that can be run with the SPSS command MIXED. Basic syntax and useful options will be discussed, as well as possible solutions to common problems encountered in multilevel modeling. Examples of both two- and three-level models will be provided. Sign up at https://idre.ucla.edu/calendar-event/using-mixed-command-spss only if you are able to attend in person; there will be no online component to this workshop.

NOTE: All researchers are welcome to attend.

**Data Management in R**: Monday, March 5 from 9 a.m. to 12 noon in the Visualization Portal, Math Science 5628

Description: This seminar introduces R packages and functions that help users import, transform and manage their data in preparation for analysis. The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed. Topics include data import, transforming variables, string functions, missing data, merging datasets, reshaping data, grouped data processing, and looping. Sign up at https://idre.ucla.edu/calendar-event/data-management-r only if you are able to attend in person; there will be no online component to this workshop.

NOTE: All researchers are welcome to attend.

## 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
- 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**