What is the main difference between composite reliability in Smart PLS and Cronbach Alpha in SPSS to measure the reliability? Because I found different results for reliability test in same data.
As far as I know, composite reliability is a new fashion to measure scale reliability overall and preferred with CFA. On the other hand Cronbach alpha is average measure of internal consistency and item reliability and preferred when EFA is used for factor extraction.
Here is a link to a previous RG discussion of this issue:
https://www.researchgate.net/post/What_is_the_difference_between_Composite_Reliability_and_Internal_reliability
https://www.researchgate.net/post/how_does_reliability_measures_work_with_Smart_PLS_path_analysis
Check this out:
https://www.smartpls.com/resources/ebook_on_pls-sem.pdf
Composite reliability is a preferred alternative to Cronbach's alpha (see below) as a test of convergent validity in a reflective model.
It may be preferred as a measure of reliability because Cronbach's alpha may over- or underestimate scale reliability, usually the latter. For this reason, composite reliability is preferred among researchers in PLS-based research. Compared to Cronbach’s alpha, composite reliability may lead to higher estimates of true reliability. Ali Nasser Al-Tahitah
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