The Fronell-Larcker criterion is one of the most popular techniques used to check the discriminant validity of measurements models. validity of interpretations for such measures can focus on the associations between . I have a four factor scale that I just finished CFA on, and I was advised to use the chi-square test of differences to check for discriminant validity to reinforce my AVE based test for it. Discriminant validity indicates to differentiate between one construct and another in the same model. HTMT - A New Criterion to Assess Discriminant Validity. Q-sorting is presented as a method that can be used in early stages of research, being more exploratory, while the chi-square difference test and the average variance extracted analysis are recommended for the confirmatory stages of research. As in the case of Study 1, all items in the adoption construct had loadings greater than 0.55 with alpha values between 0.72 for external pressure and 0.95 for perceived usefulness. Research verifying those crucial predicted associations The study presents three methods which can be used to assess discriminant validity for multi-item scales. In this example, convergent validity would test that the four other constructs are, in fact, related to self-esteem in the study. Discriminant validity would ensure that, in the study, the non-overlapping factors do not overlap. The term “discriminant validity” stems from theoretical approaches in validity that focus on the construct (e.g., Cronbach & Meehl, 1955). In the trinitarian approach to validity, convergent and discriminant validities form the evidence for construct validity (Hubley & Zumbo, 1996). In a sense, these specific asso-ciations are “make-or-break” in terms of the convergent and discriminant validity evidence for such measures. intelligence) is actually measuring that construct. Discriminant validity assumes that items should correlate higher among them than they correlate with other items from other constructs that are theoretically supposed not to correlate. and nomological validity. Convergent Validity is a sub-type of construct validity.Construct validity means that a test designed to measure a particular construct (i.e. Again, convergent and discriminant validity were assessed using factor analysis. The researcher would also check that self-worth and confidence, and social skills and self-appraisal, are also related. test scores and those relatively few specific variables. Let’s take a look at this example: Discriminant validity gets established when there is low correlation between two scales. In structural equation modelling, Confirmatory Factor Analysis has been usually used to asses construct validity (Jöreskog, 1969). To assess discriminate validity, two common ways are used by researches. What are Convergent Validity and Discriminant Validity? 3.4.2 Discriminant Validity Discriminant validity is a test to ensure there is no significant variance among different variables that could have the same reason. According to this criterion, the square root of the average variance extracted by a construct must be greater than the correlation between the construct and any other construct. Design of Experiments > Convergent Validity and Discriminant Validity. You may find it helpful to read this article first: What is Construct Validity? If you fail to test for discriminant validity among your variables, there could be a chance that some items will have a good relationship with non-related items – a clear indication of a lack of discriminant validity. 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