## Upcoming Workshops, Summer 2023

**Applied Survey Data Analysis Using SAS 9.4**, Monday, August 14 from 1 to 4 p.m. PDT via Zoom

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.

**Register here: https://ucla.zoom.us/meeting/register/tJYscuytqTIpEtQ5IOQL63Cl9AHdlrlb1ffw **

The workshop notes are here.

**R Data Management**, Monday, August 21 from 1 to 4 p.m. PDT via Zoom

This workshop explores tools in R for data management, with a focus on the several of the packages in the “tidyverse” collection. Topics covered include summarizing variables, subsetting rows and columns, generating group-level variables, combining data sets, reshaping data, and working with string and datetime data. This workshop is designed to be interactive, so some basic knowledge of R is helpful.

**Register here: https://ucla.zoom.us/meeting/register/tJMsduqvrjouG9B62j7W7Ta_HfmFG7Pfi1ch**

The workshop notes are here.

**Introduction to R Programming**, Monday, August 28 from 1 to 4 p.m. PDT via Zoom

This workshop is an introduction to R as a programming language. The aim of this workshop is to improve programming skills of R users who have some familiarity with R as a statistical package and would like to extend their R skills. We will talk about how R users can write functions to replace repetitive code and loops to iterate over the same algorithm repeatedly. Coding is essential in statistical computing and analysis, and as researchers sometimes we need to write our own computational code. We will also talk about some functional programming aspects of R so we can make our code more efficient.

**Register here: https://ucla.zoom.us/meeting/register/tJ0qd-usqDkvG9OhwGBtjqZQhE05wflH1alL**

The workshop notes will be posted soon.

## Past Classes and Workshops Available Online

- Introduction to Stata 16
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 15
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Advanced Topics in Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Meta-analysis using Stata
- Introduction to Programming in Stata
- Decomposing, Probing, and Plotting Interactions 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 (point-and-click and syntax)
- Introduction to Regression with SPSS
- Introduction to Mediation Models with the PROCESS macro in SPSS
- Graphing Interactions Using the PROCESS Macro in SPSS
- A Practical Introduction to Factor Analysis
- Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- SPSS Syntax to the Next Level
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS

**Mplus and Latent Variable Analysis**

- Introduction to R
- R Data Management
- R Markdown Basics
- Introduction to ggplot2
- Introduction to Regression in R
- Decomposing, Probing and Plotting Interactions in R
- Analysis and Visualization of Interactions in R
- Survey Data Analysis with R
- Introduction to Survival Analysis in R
- Repeated Measures Analysis in R
- Latent Growth Models (LGM) and Measurement Invariance with R in lavaan
- Introduction to Structural Equation Modeling (SEM) in R with lavaan
- Confirmatory Factor Analysis with in R with lavaan
- Missing Data in R
- Beyond Logistic regression 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**