## Upcoming Workshops, Fall 2022

**Introduction to R**, Tuesday, November 1 from 1 to 4 p.m. PDT via Zoom

This workshop introduces the functionality of R, with a focus on data analysis. Topics include: using RStudio, R coding basics, importing and cleaning data, simple data analysis functions, and brief introductions to R graphics (base and ggplot2) and RMarkdown. This workshop is interactive with coding exercises throughout.
**Register here: https://ucla.zoom.us/meeting/register/tJAof-CtpjktGdCuPcuKIye5gFwlTBlCdrWV**

The workshop notes are here.

**Introduction to Mplus**, Tuesday, November 8 from 1 to 4 p.m. PDT via Zoom

Mplus is a powerful statistical package used for the analysis of 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. The program can handle a combination of categorical and continuous variables and often permits missing data. It integrates these analyses into a single framework where you can combine techniques like growth curve modeling and latent class analysis to ask unique questions, such as “Are there latent classes among the growth trajectories?”. This workshop is designed for people who are just getting started using Mplus to orient them to the nuts and bolts of using this package.

**Register here: https://ucla.zoom.us/meeting/register/tJAkcu6prjsjHtfHvKPr77kTl82_s2IpV03V**

The workshop notes are here.

**Introduction to Regression in R**, Tuesday, November 15 from 1 to 4 p.m. PDT via Zoom

This seminar will introduce some fundamental topics in regression analysis using R in three parts. The first part will begin with a brief overview of the R environment, and then simple and multiple regression using R. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this seminar will introduce categorical variables in R and interpretation of regression analysis with categorical predictors.

#### Register here: https://ucla.zoom.us/meeting/register/tJEpfumqqDgjH9XQxOxLeFM8LmHMllaWZg4g

The workshop notes are here.

## 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
- 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

**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**