Zoom registration required: https://ucla.zoom.us/meeting/register/tJAocumvrTkoHdVjqIGxWTdErUZLo_Z5hccE Regression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar begins with simple regression and generalizes the methods to multiple regression, followed by regression diagnostics. The seminar briefly reviews regression concepts as necessary,…

Zoom registration required: https://ucla.zoom.us/meeting/register/tJwkcuiqrjovGdFdq0u6EebmpiiX_KW00ohH 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. All researchers are welcome to register for…

Zoom registration required: https://ucla.zoom.us/meeting/register/tJUrcO2qpjopHdZ1iMHcg9ksIr0czZ3ixKiL This workshop will discuss the following topics: • how complex survey data are different from other types of data • how to do to basic descriptive statistics with continuous and categorical variables • how to make descriptive graphs with complex survey data • how to run a variety of regression models, including linear, binary logistic, ordinal logistic, multinomial logistic and count regression models with complex survey data, including how to graph interactions in such models •…