Examining differential item functioning due to item difficulty and alternative attractiveness

A method for analyzing test item responses is proposed to examine differential item functioning (DIF) in multiple-choice items through a combination of the usual notion of DIF, for correct/incorrect responses and information about DIF contained in each of the alternatives. The proposed method uses incomplete latent class models to examine whether DIF is caused by the attractiveness of the alternatives, difficulty of the item, or both. DIF with respect to either known or unknown subgroups can be tested by a likelihood ratio test that is asymptotically distributed as a chi-square random variable.     

Subjects' inferential performance and the interaction of data and hypotheses in probabilistic inference tasks

In a recent paper, Knez (1991) showed an interaction of data and hypotheses in probabilistic inference tasks. The results illustrated two, earlier not obtained, significant main effects on subjects' hypothesis sampling , viz. the effect of different forms of data presentation and subjects' execution of cognitive control over their hypothesis pool throughout the series of trials. The present paper followed up these results in that the subjects' hypothesis testing , in Knez (1991) was subjected to an analysis. Hence, to see if the effects mentioned above significantly influenced the subjects' hypothesis testing, as they did for subjects' hypothesis sampling. The results showed a consistency with Knez (1991), i.e. the results emphasize the interaction of data and hypothesis in probabilistic inference tasks, as well as the subjects' execution of cognitive control over their hypothesis pool concerning both the subjects' hypothesis sampling and testing.     

Statistical consistency and hypothesis testing for nonmetric multidimensional scaling

The properties of nonmetric multidimensional scaling (NMDS) are explored by specifying statistical models, proving statistical consistency, and developing hypothesis testing procedures. Statistical models with errors in the dependent and independent variables are described for quantitative and qualitative data. For these models, statistical consistency often depends crucially upon how error enters the model and how data are collected and summarized (e.g., by means, medians, or rank statistics). A maximum likelihood estimator for NMDS is developed, and its relationship to the standard Shepard-Kruskal estimation method is described. This maximum likelihood framework is used to develop a method for testing the overall fit of the model.     

Millon Clinical Multiaxial Inventory (MCMI) computer-generated diagnoses: How do they compare to clinician judgment?

During the past several decades, computers have achieved increasing prominence in psychological assessment procedures. This is particularly true for computer-based test interpretation and diagnosis. This study reports on a study designed to compare the accuracy of computer-based diagnoses with clinician-generated diagnoses. The Millon Clinical Multiaxial Inventory (MCMI) was administered to 151 consecutively admitted inpatients at a large private psychiatric hospital. The computer-generated diagnoses were compared with those generated by admitting psychiatrists. The results indicated that the MCMI diagnostic impressions underestimated the severity of depressive disorders when compared with clinician diagnoses on Axis I. Specifically, clinicians diagnosed major depression much more frequently than did the MCMI. In addition, clinicians diagnosed anxiety disorders much less frequently than did the MCMI.     

Validating self-reported compliance with COVID-19 regulations: Demonstrating group-level sociodemographic self-reported compliance that mirrors actual morbidity rates

Using a novel approach, in this work, we establish an association between self-reported compliance with COVID-19 preventive behaviors and fear of the virus with morbidity rates (i.e., actual tests and their outcome). In two nationally representative samples that were collected in Israel during the first (April 2020: N = 507) and second (August 2020: N = 515) waves of the COVID-19 pandemic, participants responded to items assessing their compliance with the COVID-19 preventive behaviors and their fear of contracting the virus. Participants' compliance and fear self-reports served as a proxy for morbidity rates. Specifically, we assessed the association between sociodemographic variables (gender, age, or belonging to a minority group), self-reports, and morbidity rates (as reported in publicly open databases of the Israeli health ministry). We found that self-reports of compliance and fear were mirrored and aligned with actual morbidity rates across sociodemographic variables and studies. By establishing a clear connection between specific behavior (i.e., compliance with covid regulations) and emotion (i.e., fear of getting infected by the virus), self-reports and sociodemographic variables represent a real related phenomena (i.e., covid 19 morbidity rates), our findings overall validate numerous studies that used self-reports to assess compliance with COVID-19 preventive behaviors.     

The concurrent validity of three self-report measures of borderline personality

The recent accumulation of self-report measures of borderline personality disorder (BPD) affords the opportunity to evaluate both the construct validity of the concept and the quality of these measures. This study examines the relationship among three recently developed self-report instruments for assessing BPD from the Personality Assessment Inventory (PAI; Morey, 1991), the MMPI Personality Disorders Scales (MPD; Morey, Waugh, & Blashfield, 1985), and the Bell Object Relations Inventory (BORI: Bell, Billington, & Becker, 1986). Data on the three measures were provided by 119 undergraduate subjects from a southeastern university. A correlational analysis addresses the convergence of these measures of BPD, their divergence from measures of different but related traits, and their independence from variance due to method. Application of the Campbell-Fiske (1959) criteria indicates adequate convergence for all the BPD measures but a lack of discriminant validity for the BORI scales. The fit of the data to a structural model of construct validity is tested using confirmatory factor analysis, and these results are consistent with the hypothesis of a latent borderline trait factor independent of measurement method factors. In sum, the construct validity of the borderline personality concept using self-report methodologies receives support, and a strong association between borderline personality and paranoid phenomena is also suggested.     

BELIEF VS. COMMITMENT, VALIDITY VS. VALUE: A RESPONSE TO WARD GOODENOUGH

Abstract. This paper is on Ward Goodenough's recent article (27: 3), suggesting that his points can be clarified by reiterating the distinction between the realms of meaning and relevance. Religion's "truth" is in the form of its ualue; the "proof" which it requires is uindication; and the resulting "faith" must be understood as commitment.