## Upcoming Workshops, Winter 2022

**R Markdown Basics**, Tuesday, February 15 from 1 to 4 p.m. PDT via Zoom

R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This workshop covers basic coding and conventions of the three frameworks upon which R Markdown depends: Markdown for formatting text, knitr for R code chunks, and YAML for rendering the document. The workshop does not assume any previous experience with R Markdown, but attendees who wish to participate in seminar demonstrations should come with RStudio and R Markdown installed on their computers.

The workshop notes are here: https://stats.oarc.ucla.edu/r/seminars/r-markdown-basics/

The sign-up link is here: https://ucla.zoom.us/meeting/register/tJwpd-uoqDIvG91UKYByaA-7Xcbn4V38rA1k

**Stata Data Management**, Tuesday, February 22 from 1 to 4 p.m. PDT via Zoom

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 workshop is focused on preparing data for statistical analysis.

The workshop notes are here: https://stats.oarc.ucla.edu/stata/seminars/stata-data-management/

The sign-up link is here: https://ucla.zoom.us/meeting/register/tJIpf–rrj4vE9DWH23IkyLvjjrk-md-hwYe

**Introduction to Generalized Linear Regression Models in R**, Tuesday, March 1 from 1 to 4 p.m. PDT via Zoom

In this workshop we discuss generalized linear models and why and when we need to use them. We will discuss several generalized linear modes such as logistic, Poisson, and negative binomial and how we run them in R. The seminar briefly reviews regression concepts as necessary, but it is assumed that participants have basic understanding of linear regression models (see the Introduction to Regression in R workshop). It also assumed that participants have basic familiarity with R (see the Introduction to R seminar for a tutorial).

The workshop notes are here: forthcoming

The sign-up link is here: https://ucla.zoom.us/meeting/register/tJUud-6uqTwiGtNZEtt6vy5VApsl6AE8BJVM

**Introduction to Mediation Models with the PROCESS macro in SPSS**, Tuesday, March 8 from 1 to 4 p.m. PST via Zoom

This workshop will introduce the PROCESS Macro in SPSS (written by Andrew Hayes). Basic models will be demonstrated. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses.

The workshop notes are here: forthcoming

The sign-up link is here: https://ucla.zoom.us/meeting/register/tJIlcuCpqzwoGt3dCRZ50lDgXWadWKeYfc2r

## 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
- 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)
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS

**Mplus and Latent Variable Analysis**

- 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
- Decomposing, Probing and Plotting Interactions in R
- Introduction to R
- R Markdown Basics
- Introduction to ggplot2
- R Data Management
- Repeated Measures Analysis in R
- Introduction to Regression in R
- Survey Data Analysis with 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**