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. registration link: https://ucla.zoom.us/meeting/register/tJIpf--rrj4vE9DWH23IkyLvjjrk-md-hwYe

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…

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. registration link: https://ucla.zoom.us/meeting/register/tJIlcuCpqzwoGt3dCRZ50lDgXWadWKeYfc2r