Assessing Measurement and Predictive Invariance of the Toronto Alexithymia Scale–20 in U.S. Anglo and U.S. Hispanic Student Samples

We collected data from a predominately Anglo American student sample in the Southeastern United States and a predominately Hispanic student sample in the Southwestern United States. Along with an assessment of internal consistency reliability, we examined measurement invariance of the Toronto Alexithymia Scale–20 (TAS–20) using confirmatory factor analysis. We also assessed the predictive invariance of the TAS–20. Results indicate that 2 of the 3 TAS–20 subscales demonstrated satisfactory internal consistency reliability across samples. Items from the TAS–20 subscales demonstrated measurement invariance of the latent means. The relationship between 2 measures of emotional dysfunction and the TAS–20 also demonstrated slope and intercept invariance, indicating equivalent validity.     

The Bermond-Vorst Alexithymia Questionnaire: a measurement invariance examination among U.S. Anglos and U.S. Hispanics

The aim of this article is to assess the measurement invariance of the Bermond-Vorst Alexithymia Questionnaire (BVAQ) in U.S. Anglo (n = 490) and U.S. Hispanic ( n = 379) samples of college students. The BVAQ items demonstrated invariance of the factor loadings, the latent item intercepts, and unique factor variances. However, Hispanics had higher verbalizing scores and lower fantasizing scores on the latent variables. As a whole, the BVAQ requires additional testing and/or refinement for use with a Hispanic sample. Until such refinements, the authors recommend that the Toronto Alexithymia Scale-20 be used with U.S. Hispanic samples.     

Structure in semantic memory: A probabilistic approach using a continuous response task

In the continuous response (CR) task, the subject is given the name of a familiar category and must respond with category examples within a fixed time limit. The response sequence and the interresponse times are the measured variables. A general model is proposed for performance in the CR task. The time taken to generate a response is identified with the shortest search time from among a set of simultaneous search processes. Each response has a generation probability that is a function of the parameters governing the search process durations. Data involving the category states in the United States are used to test the model. The model accounts for the performance of nearly all individuals in these data.This article is based on a dissertation completed at the University of California-Berkeley in partial fullfillment of the requirements for the Ph.D. degree in psychology. Portions of the article were presented at the joint meeting of the Psychometric and Classification Societies (June 1984) and at the meeting of the Society for Mathematical Psychology (August 1984). The authors wish to thank Barbara Mellers, Juliet Schaffer, Steve Palmer, and Eleanor Rosch for helpful comments.     

Evaluating the impact of partial factorial invariance on selection in two populations

Studies of factorial invariance examine whether a common factor model holds across multiple populations with identical parameter values. Partial factorial invariance exists when some, but not all, parameters are invariant. The literature on factorial invariance is unclear about what should be done if partial invariance is found. One approach to this problem evaluates the impact of partial invariance on accuracy of selection on the basis of a composite of the measures whose factor structure is being studied. Assuming a single-factor model holds, accuracy of selection using the composite is evaluated under varying degrees of partial invariance. A variety of examples are presented with discussion of extensions and limitations.     

Father Enrollment and Participation in a Parenting Intervention: Personal and Contextual Predictors

Fathers are an important, though often underrepresented, population in family interventions. Notably, the inclusion of ethnic minority fathers is particularly scarce. An understanding of factors that promote and hinder father participation may suggest strategies by which to increase fathers’ presence in studies designed to engage the family unit. The current research examined Mexican origin (MO) fathers’ involvement in a family‐focused intervention study. Participants included 495 fathers from eligible two‐parent MO families with an adolescent child. Individual, familial, and culturally relevant predictors based on father, mother, and/or child report data were collected through pretest interviews and included in two separate logistic regression analyses that predicted the following: (1) father enrollment in the study and (2) father participation in the intervention. Results indicated that higher levels of maternal education and lower levels of economic stress and interparental conflict were associated with increased father enrollment in the study. Rates of father participation in the intervention were higher among families characterized by lower levels of interparental conflict, economic stress, and Spanish language use. Results highlight the relevancy of the familial and environmental context to MO fathers’ research participation decisions. These findings as well as their implications for future research and practice are discussed.     

High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance

Psychometrika - The existence of differences in prediction systems involving test scores across demographic groups continues to be a thorny and unresolved scientific, professional, and societal...     

Component analysis in cross-sectional and longitudinal data

An extension of component analysis to longitudinal or cross-sectional data is presented. In this method, components are derived under the restriction of invariant and/or stationary compositing weights. Optimal compositing weights are found numerically. The method can be generalized to allow differential weighting of the observed variables in deriving the component solution. Some choices of weightings are discussed. An illustration of the method using real data is presented.Preparation of this article was supported in part by PSC-CUNY Grant #665365 to Roger E. Millsap and by National Institute of Aging Grant NIA-AG03164-03 to William Meredith. The authors thank John Nesselroade for permitting the use of the data presented in the article.     

Statistical Power for a Simultaneous Test of Factorial and Predictive Invariance

A common finding in studies of differential prediction across groups is that although regression slopes are the same or similar across groups, group differences exist in regression intercepts. Building on earlier work by Birnbaum (1979) Birnbaum, M. H. 1979. “Procedures for the detection and correction of salary inequities.”. In Salary equity Edited by: Pezzullo, T. R. and Brittingham, B. F. 121–144. Lexington, MA: Lexington Books..  [Google Scholar], Millsap (1998) Millsap, R. E. 1998. Group differences in regression intercepts: Implications for factorial invariance. Multivariate Behavioral Research, 33: 403–424. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar] presented an invariant factor model that would explain such intercept differences as arising due to unique variance or measurement error in the predictors and criterion. The model can be tested even when only a single predictor (p = 1) and criterion are present, but Millsap (1998) Millsap, R. E. 1998. Group differences in regression intercepts: Implications for factorial invariance. Multivariate Behavioral Research, 33: 403–424. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar] only illustrated the use of the test in very large samples. The present study investigates the Type I error and power performance of the test of fit across a range of sample sizes and effect sizes in simulated data, using an alternative model that includes group differences in measurement intercepts. Surprising results showed little power for the chi-square test in the p = 1 case but good power for a diagnostic indicator based on negative unique variance estimates. The p = 2 case showed better power in modest samples. A real example from an application on reading disabilities in Share and Silva (2003) Share, D. L. and Silva, P. A. 2003. Gender bias in IQ-discrepancy and post-discrepancy definitions of reading disability. Journal of Learning Disabilities, 36: 4–14. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar] is given. The implications of the results for studies of differential prediction involving group differences in regression intercepts are discussed.