Composite Reliability is usually generated when running Structural Equation Modeling (SEM) test that is the measure for internal consistency of reliability that does not assume equal indicator loadings whereas Cronbach Alpha is the measure of internal consistency of reliability that presume equal indicator loadings (Hair, Hult, Ringle & Sarstedt, 2014).
Composite Reliability is adopted in SEM analysis as its value is usually higher than Cronbach Alpha in which the difference is inconsequential (Peterson & Kim, 2013).
I would like to get your opinion about Cronbach Alpha ? what is the minimum accepted value ? Can you please share some articles to support my results because I have obtained from SmartPls analysis for Cronbach Alpha result 0.61, 0.57 & 0.45.
Nashwan AL-Emad , literature suggest 0.6 as the minimum acceptable value for Cronbach Alpha
1. Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. Midwest Research-to-Practice Conference in Adult, Continuing, and Community Education. The Ohio State University, Columbus, OH.
2. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate Data Analysis (7th ed.). Upper Saddle River, New Jersey: Pearson Education Limited.
3.Kline, R. B. (2011). Principles and practice of structural equation modeling
The value of AVE depends on the value of factor loading. Therefore, if the AVE value is below 0.5 (Fornell and Larcker, 1981), would be advisable to check the factor loading for each items. Any item has loading below 0.4 should be dropped (see Kline 2005 or Hair et al., 2006 and other statisticians). However, from past experience, if you use SEM, the CFA result would supersede the EFA.