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Results tagged with pca
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user 30877
Principal component analysis (PCA) is a linear dimensionality reduction technique. It reduces a multivariate dataset to a smaller set of constructed variables preserving as much information (as much variance) as possible. These variables, called principal components, are linear combinations of the input variables.
1
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0
answers
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z-transformation of Likert-scale questions before running a pca
Does it makes sense to standardize (z-transformation) all ordinal variables (I only have Likert-scale questions) before running a PCA? …
- 195
5
votes
1
answer
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How to identify outliers and conduct robust PCA?
I want to conduct a principal component analysis (PCA) in SPSS. One assumption for PCA is that there are no significant outliers. How can I identify outliers in SPSS? …
- 195