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My co-authors and I are testing a rather typical "fit as moderation" model where the predictor and criterion variables are continuously scaled and the moderator variable is categorical. We assessed for dimensionality, reliability, and validity of the continuously scaled variables using standard CFA techniques. However, we would also like to demonstrate discriminant validity between the categorical variable and a set of the continuously scaled variables. Can anyone recommend an approach for accomplishing this?

Thanks.

Stan Slater
College of Business
Colorado State University

Please kindly post the following message. Thank you.

Apologies for cross-listing.

We are currently working on a project that focuses on identifying a set of best practices to determine the discriminant validity of new constructs. We would greatly appreciate your insights pertaining to the following questions:

1. Typically how do you identify relevant constructs that should be included in your study to determine the discriminant validity of the new construct you are trying to develop?
2. How can you ensure that the new construct is not redundant with a similar construct that has already existed in the literature (but you may not be aware of) or in other academic disciplines?

Please send your answer directly to ali@wtamu.edu.


Andrew Li, Ph.D.
Williams Professor of Management
Department of Management
West Texas A&M University
Canyon TX 79016