Timeline for Factor Analysis: Single variable contributing to several latent variables
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Mar 14, 2019 at 18:46 | vote | accept | Raphael Prager | ||
| Mar 14, 2019 at 18:32 | comment | added | ttnphns | Factor analysis is not a clustering of variables into exclusive groups. All the m factors extracted load all the p analyzed variables, but they load them differentially, to diverse extent. | |
| Mar 14, 2019 at 18:29 | comment | added | ttnphns |
Thus, all four variables would be subsumed into one latent variable. Not necessary at all. It could be that correlation between X1 or X2 (or even both of them) and X4 is so weak that they hardly at all are loaded by the same single factor.
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| Mar 14, 2019 at 18:24 | history | edited | ttnphns | CC BY-SA 4.0 |
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| Mar 14, 2019 at 17:34 | answer | added | Mark | timeline score: 0 | |
| Mar 14, 2019 at 16:00 | history | asked | Raphael Prager | CC BY-SA 4.0 |