Main navigation

Loading Events
Find Events

Upcoming Events

Events List Navigation

February 2018

Introduction to Mplus 8.1

February 12, 2018 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 75 spots left

Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started using Mplus. Our aim is to orient participants to the basic structure, syntax, data and output associated with this package. Mplus version 8.1 will be…

Find out more »

Using the MIXED command in SPSS

February 26, 2018 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 75 spots left

This seminar will illustrate the different kinds of models that can be run with the SPSS command MIXED.  Basic syntax and useful options will be discussed, as well as possible solutions to common problems encountered in multilevel modeling.  Examples of both two- and three-level models will be provided. NOTE: All researchers are welcome to attend.

Find out more »
March 2018

Data Management in R

March 5, 2018 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 74 spots left

This seminar introduces R packages and functions that help users import, transform and manage their data in preparation for analysis.   The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed.  Topics include data import, transforming variables, string functions, missing data, merging datasets, reshaping data, grouped data processing, and looping. NOTE: All researchers are welcome to attend.

Find out more »

Logistic Regression in SAS

March 19, 2018 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free

This seminar will walk you through the basics of executing and interpreting a binary logistic regression model using the logistic procedure in SAS. We will discuss methods for assessing goodness of fit, performing model diagnostic as well as graphing results. The seminar will also briefly discuss alternative models, which are appropriate when the sample size is too small or the events are too sparse, including exact logistic and firth logit regression. NOTE: All researchers are welcome to attend.

Find out more »
+ Export Events

Events List Navigation

UCLA OIT