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  • Where do the descriptors for Cronbachs alpha values come from (e. g . . .
    Incidentally, Cronbach's $\alpha$ is often misinterpreted and has been thoroughly criticized Even the very idea of aiming for higher internal consistency has been called into question (most notably by Cattell, cf “bloated specifics”)
  • What is the difference between Cronbachs alpha and standardized . . .
    I found in the wiki article a definition of a standardized Cronbach's alpha but nothing is said what it is and about its relation to the original Cronbach's alpha: I found at What is Cronbach's Alpha intuitively? a well explained interpretation of Cronbachs alpha Does the standardized Cronbach's alpha have the same interpretation? Or is it
  • What is Cronbachs Alpha intuitively? - Cross Validated
    If you are asking "what is alpha accorfing its formula" I might answer that it is almost a normalized average covariance (and standardized alpha - average correlation) $\endgroup$ – ttnphns Commented Aug 11, 2015 at 14:11
  • pre post comparison - Cronbachs alpha for knowledge pretest-posttest . . .
    Alpha has its limits, and if you are willing to go deeper analytically, then item response theory (IRT) should be an enormous help IRT allows you to assess, for each item, the role of guessing; the item's difficulty; and the item's ability to discriminate between lower and higher levels of understanding of the content
  • reliability - How to compute Cronbachs alpha with only one measurement . . .
    Information on Cronbach's alpha is here and any standard statistics package will calculate this for you You will need to use the individual trial data to do the calculation so K=200 Assuming you're going to be using R or similar, you'll need the data in wide format
  • How high is too high with Cronbachs alpha? - Cross Validated
    They tested the internal consistency of the 15-item scale with Cronbach's alpha The result was 995, and the alpha after each item was deleted was 995 (for each item) I'm pretty sure that results should not be this high and that there is a problem with the items themselves, the response scale, or perhaps the method of data collection
  • Why change items which dont change Cronbach Alpha?
    The authors are developing a psychometric scale They did a pilot study with 45 items They measured Cronbach alpha and found that it is 0 89 overall Then they found that six items have Cronbach's alpha if item deleted of 0 89 or very similar (between 0 89 and 0 893) They show a table with all six
  • Factor analysis and Cronbachs alpha - Cross Validated
    As mentioned in the comments by @ttnphs, Cronbach's alpha $\alpha$ is not appropriate for ordinal $^1$ and nominal data, as it was designed for scale (or metrical data) Factor analysis, however, can easily accommodate ordinal and nominal data


















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