Hello,
I am coding some metrics from different articles to run a meta-analysis and I had a simple question.
Let's say one of my variable of interest is Brand loyalty. In some articles, brand loyalty is often decomposed in two different variables (Attitudinal loyalty and behavioral loyalty) with two different metrics: two different AVE, CR, Alpha coefficients, Means and Standard deviations.
I would like to summarize these two variables in a single one. Thus, how do I get the value of the AVE, CR, Alpha, Mean and SD for the variable Brand loyalty (which is the variable gathering attitudinal and behavioral loyalty)? Should I do the average of the values given in the article?
Thanks in advance for you reply,
Best regards,
Kathleen
You may either use the 3 point estimation method (https://en.wikipedia.org/wiki/Three-point_estimation), or to correlate the variable and find their joint distribution. In the later case, you may use the allfitdist (https://www.researchgate.net/post/Did_anyone_verify_the_accuracy_of_the_allfitdist_function_considering_various_data_types_and_scales) function.
Mohamed EL-Shimy thank you for your answer, I'll deepen the 3 point estimation method to see how to apply it in my case.
Thank also Timo Mandler ! :D
I also asked directly to Mike Cheung and apparently the best option is indeed to compute the averages. However, I may consider behavioral, attitudinal, and mixed approach as a moderators in my analysis :)
Best regards,
Kathleen
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