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Aug 26, 2021 at 0:03 history edited ttnphns CC BY-SA 4.0
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Aug 25, 2021 at 23:12 history edited ttnphns CC BY-SA 4.0
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Feb 16, 2020 at 12:49 comment added user2957945 ah, thanks @ttnphns; sorry to bother you -- I dont quite know how I managed to miss that. Appreciate your help.
Feb 16, 2020 at 12:39 comment added ttnphns @user2957945, Paragraph 7 says about normality. Normality assumption is necessary for some methods of factor extraction and for performin some statistical tests facultatively accompanying factor analysis. To your question: Yes, if factors are distributed normally and errors normally too, that will mean manifest variables are also normal.
Feb 16, 2020 at 12:27 comment added user2957945 dear ttnphns; I notice that you don't mention that the data are assumed normal and other online indicate that normality is not required. My query is if the latent variables are assumed normal, and the observations are modelled as a weighted sum of the factors does this then not imply a normal distribution on the observations? (I'm sorry im sure this is a dumb question)
Apr 22, 2019 at 8:23 comment added kittygirl If Binary data should also be avoided,what else factor analysis method can we do for binary data?
Jul 28, 2017 at 14:27 comment added WhiteGirl ,could you read this post,it seemed little different.
Apr 13, 2017 at 12:44 history edited CommunityBot
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
Jun 5, 2016 at 20:56 history edited ttnphns CC BY-SA 3.0
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May 31, 2016 at 2:42 history edited ttnphns CC BY-SA 3.0
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Mar 21, 2016 at 14:22 history edited ttnphns CC BY-SA 3.0
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Mar 5, 2016 at 8:57 history edited ttnphns CC BY-SA 3.0
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Mar 2, 2016 at 18:08 history edited ttnphns CC BY-SA 3.0
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Feb 26, 2016 at 12:23 history edited ttnphns CC BY-SA 3.0
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Feb 26, 2016 at 11:50 history edited ttnphns CC BY-SA 3.0
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Feb 26, 2016 at 11:28 history edited ttnphns CC BY-SA 3.0
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Feb 26, 2016 at 11:06 history edited ttnphns CC BY-SA 3.0
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Feb 26, 2016 at 10:39 history answered ttnphns CC BY-SA 3.0