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April 2020

Introduction to ggplot2

April 27, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free 62 spots left

The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R.  In this interactive workshop, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively.  The workshop is interactive, in which attendees are encouraged to participate in R coding to create their own statistical graphics. The notes for the workshop are here.  This workshop will be hands-on.  Attendees should have R and…

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May 2020

Introduction to Mplus

May 4, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free 65 spots left

Mplus is a powerful statistical package used for the analysis of 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. The program can handle a combination of categorical and continuous variables and often permits missing data. It integrates these analyses into a single framework where you can combine techniques like growth curve modeling and latent class analysis to ask…

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R Data Management

May 11, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free 63 spots left

This workshop 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 y 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. The notes for the workshop are here.  This workshop will not be hands-on. Attendance is…

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A Practical Introduction to Factor Analysis in SPSS

May 18, 2020 @ 1:00 pm - 4:00 pm
Zoom
Free 65 spots left

This workshop will give a practical overview of exploratory (EFA) in SPSS. Topics to be covered include factor extraction, principal components analysis, estimation methods, factor rotation, refining the factor structure, and generating factor scores for subsequent analyses. The notes for the workshop are here.  This workshop will not be hands-on. Attendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop.

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