Examining Validity-Related Correlations and Their Differences Under Assumption Violations. (April 2020)

• Record Type: Journal Article
• Authors: Raykov, Tenko; Al-Qataee, Abdullah A.; Dimitrov, Dimiter M.
• Is Part Of: Educational and psychological measurement. Volume 80:Number 2(2020)
• Page Start: 389
• Page End: 398
• Publication Date: 2020-04
• Subjects: auxiliary variable -- convergent validity -- correlation -- discriminant validity -- interval estimation -- latent variable modeling -- maximum likelihood -- missing data; Educational tests and measurements -- Periodicals; Psychological tests -- Periodicals; 151.205
• DOI: 10.1177/0013164418822703
• Languages: English
• ISSNs: 0013-1644

Abstract

A procedure for evaluation of validity related coefficients and their differences is discussed, which is applicable when one or more frequently used assumptions in empirical educational, behavioral and social research are violated. The method is developed within the framework of the latent variable modeling methodology and accomplishes point and interval estimation of convergent and discriminant correlations as well as differences between them in cases of incomplete data sets with data not missing at random, nonnormality, and clustering effects. The procedure uses the full information maximum likelihood approach to model fitting and parameter estimation, does not assume availability of multiple indicators for underlying latent constructs, includes auxiliary variables, and accounts for within-group correlations on main response variables resulting from nesting effects involving studied respondents. The outlined procedure is illustrated on empirical data from a study using tertiary education entrance examination measures.