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…

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,…

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…

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 NOTE: This event is only available in-person at…

Description:This workshop will cover advanced topics in the analysis of complex survey data.  Familiarity with common sampling plans and how to analyze data from them is necessary to understand the topics that will be discussed.  It is strongly suggested that attendees who do not have such familiarity attend the Introduction to Survey Data Analysis workshop before attending this workshop. The workshop presents several advanced topics in dealing with complex survey data, including imputation, generating and using propensity scores, multilevel modeling…