Harman's Single Factor Test | www.pietutors.com

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This video explains how to run test for common method bias in a dataset using Harman's Single Factor Test.
  1. PIE TUTORS
  2. Harman's single factor test
  3. confirmatory factor analysis
  4. exploratory factor analysis
  5. structural equation modelling
  6. common method bias
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Комментарии
Автор

Thanks man! just amazing! keep up the good work!

elyorjonmannonov
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in the video, do you test three different scales at the same time or it is just different constructs in the same scale? Thanks for the video

KiiHeBo
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Very nicely interpreted. I got my solution

drsudhirchandradas
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At the end of video you explained, because of variance percentage ( less than 50%) means there is no common method bias. could you please give a reference for this cut- off point.Thank you

juanrizalsaari
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could anybody provide a reference with page number? there is another approach, where you extract factors with eigenvalues >1. If i put all items in a unrotated factoranalysis, 4 factors emege (first one explains 38, 1% of variance). All factors explain 76, 0% of variance. so proportionally the first factor explains more than 50% of explained variance, so is there multicollinearity?
Thank you very much in advance

albadauti
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