Timeline for Do data transformations before factor analysis need to be consistent across different variables?
Current License: CC BY-SA 3.0
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| Aug 21, 2012 at 12:15 | comment | added | Peter Flom | I would NOT transform Likert type items in any way. Items that are very highly skewed, with only 7 levels, are items where nearly all gave a response at the end. These items may not be useful at all; they add little information. I would first look at Cronbach alpha for items that don't correlate well with the others. I'd consider deleting the highly skewed items. However, all this depends on SUBSTANCE and what the actual questions are. It may well be that factor analysis is not the best tool. | |
| Aug 21, 2012 at 11:52 | comment | added | Madeline | Thanks for your response! The questions are Likert-type scales. Example: "I do not have a reason for living" with answer choices 1 - 6 (1 = strongly disagree/ 6 = strongly agree). | |
| Aug 21, 2012 at 11:33 | history | answered | Peter Flom | CC BY-SA 3.0 |