Please forward to anyone you know who may benefit.
The Analysis Factor is happy to announce our next online workshop:
Principal Component Analysis and Exploratory Factor Analysis with SPSS
http://theanalysisinstitute.com/pca-efa-spss/
Begins June 19
4-hour live interactive workshop
Workshop price $197
$68 student discount available
Register here:
http://theanalysisinstitute.com/pca-efa-spss/
You’d like to create an index from a group of related variables. At least you think they’re related — they ought to be.
But what’s the best way to combine them? Add them together? Take the mean? Which ones go together anyway?
Principal component analysis and exploratory factor analysis are both data reduction techniques — techniques to combine a group of correlated variables into fewer variables. You can then use those combination variables — indices or subscales — in other analyses.
But they have important theoretical differences and are used in different research contexts. There are a number of steps to go through — each with many decisions — to come up with a reasonable way to combine those variables.
There is a lot of new vocabulary involved, but once you learn the concepts and the logic, both PCA and EFA are very straightforward.
This workshop will give you the strong foundation you need to conduct Principal Component and Exploratory Factor Analysis with SPSS. You will learn what each technique does, the considerations to be made, and the steps to conduct it within SPSS.
Everything is shown in both menus and syntax. This is a good introduction for anyone learning statistics in SPSS for the first time or for SPSS users who are comfortable with menus who want to learn the syntax.
You can get all the details and register at:
http://theanalysisinstitute.com/pca-efa-spss/
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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