Related Experiment Video
Updated: Jun 22, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Validation of diagnostic measures based on latent class analysis: a step forward in response bias research
Michael L Thomas1, Richard I Lanyon, Roger E Millsap
1Department of Psychology, Arizona State University, Tempe, AZ 85287-1104. michael.t@asu.edu
Abstract:
The use of criterion group validation is hindered by the difficulty of classifying individuals on latent constructs. Latent class analysis (LCA) is a method that can be used for determining the validity of scales meant to assess latent constructs without such a priori classifications. The authors used this method to examine the ability of the L scale of the MMPI-2 (J. N. Butcher et al., 2001), the Impression Management scale of the Balanced Inventory of Desirable Responding (D. L. Paulhus, 1991), and the Endorsement of Excessive Virtue scale of the Psychological Screening Inventory (R. I. Lanyon, 1970) to identify favorable response bias (misrepresentation) in a situation where no criterion for individual classifications existed. Results suggest that LCA can be used as a method for assessing the validity of scales that measure unobservable conditions.
Related Concept Videos
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Bias in Epidemiological Studies
Blind Procedures
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Longitudinal Studies
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...