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Michael G posted on Friday, May 18, 2012 - 3:17 am
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Is there any statistical issue if we use factor scores rather than individual variables in cluster analysis? Your input would be greatly appreciated |
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Using a factor with individual variables as indicators versus using factor scores is not the same thing unless factor score determinacy is one. This is seldom if ever the case. |
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Michael G posted on Thursday, May 31, 2012 - 4:15 am
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Thanks Linda for your insightful input. I haven't thought before about determinacy, which is interesting! I do have continuous high dimensional variables which they are highly correlated. I want to do dimension reduction using PCA or factor analysis. Then using either the highest loading factors variables or the factor score to construct clusters. I tried about four approaches (using all the variables; highest loading variables; principal component scores, and factor scores) but the clusters I found using the factor scores makes more sense in regarding to my research purpose. Would you please kindly suggest me if there is any other plausible approaches. Thanks Michael |
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The only other thought is a multiple indicator growth model. |
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