## Events Search and Views Navigation

## November 2019

## December 2019

## January 2020

### R Markdown

Description: 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 seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends: Markdown for formatting text, knitr for R code chunks, and…

Find out more »## February 2020

### Regression Models for Count Data

Description: Regression models for data with a count outcome is part of the family of generalized linear models. This workshop is designed to give an overview on regression model with count data. The workshop includes a broad range of analyses available for count regression models such as Poisson regression, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial. The main statistical package in the workshop is R, but code to implement count regression models in other statistical packages such as Stata,…

Find out more »### Introduction to Survey Data Analysis using Stata

Description: The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design. The workshop will use Stata to conduct descriptive analyses and create graphs. Examples of subpopulation analyses will be given, as well as examples of linear and logistic regression models. sign-up link NOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to…

Find out more »### Introduction to Confirmatory Factor Analysis using R with laavan

Description: This workshop will cover basic concepts of confirmatory factor analysis by introducing the CFA model and looking at examples of a one-factor, two-factor and second-order CFA. Concepts such as model identification, standardized solutions, and model fit statistics such as the chi-square statistic, CFI, TLI and RMSEA will be covered. The focus is on learning the CFA model and how to implement and interpret the output in R’s lavaan package. sign-up link View the workshop notes. NOTE: This event is…

Find out more »