2 votes

Am I finding redundant columns in my data using Factor Analysis

Your approach is correct, but it's important to consider the size of your dataset. The results and interpretations you obtain from your data can be greatly influenced by the number of samples you have....
Oscar Flores's user avatar
1 vote

Am I finding redundant columns in my data using Factor Analysis

Several things. First, as @Oscar Flores correctly points out, your sample size of $n = 10$ is very small by factor analysis (FA) standards. For example, Beavers et al. (2019) review commonly cited ...
Preston Botter's user avatar
1 vote

Rank deficiency and interaction term not estimated

The problem is in the design; you don't really have 2x2, you have something like 2x1.5. Whenever there is high lexical complexity, there is average readability, so the interaction can't be estimated. ...
Peter Flom's user avatar
  • 117k
1 vote

models MIMIC, predicted probabilities?

This is a slightly weird thing to want to do, because you're interested in the predicted level of a categorical variable, given the level of a factor. But the level of the factor is determined by the ...
Jeremy Miles's user avatar
  • 17.5k
1 vote

How to Include a 'No Shift' Scenario in a Temperature Shift DOE

Is there a way to set up a mixed-level factor that combines continuous and categorical levels without creating invalid combinations? Yes, it is possible to fit a factor analysis (FA) model with mixed ...
Preston Botter's user avatar

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