From the course: SPSS Statistics Essential Training (2019)
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Factor analysis and principal component analysis - SPSS Tutorial
From the course: SPSS Statistics Essential Training (2019)
Factor analysis and principal component analysis
- [Instructor] The great challenge of data analysis is finding a meaningful signal hidden amid the noise or the random variation that is not important to your question. One interesting way of dealing with this is actually to get rid of some data, or specifically, to reduce the number of dimensions that you have to deal with by combining the individual pieces of data from the different variables. The idea here is that if you've got, for instance, 10 variables that are measuring approximately the same thing, then you don't really need all 10, and besides, each one of them has its own idiosyncratic error variance, but if you are able to find how the variables go together, then maybe you can combine those 10 and get a single larger score, a factor or a component, that's more useful, more informative for what you're trying to do than the individual variables with their own error variance. This is the goal of factor…
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