Fear of AIDS and Homophobia Scales in an ethnic population of university students

This replication extended R. A. Bouton et al.'s (1987) Fear of AIDS and Homophobia Scales to an ethnic sample of university students in an attempt to understand the relation between the expression of fear of HIV/AIDS and homophobia in ethnic groups. The results of the present study suggest that ethnic groups have a greater fear of HIV/AIDS, as they were more homophobic than the sample surveyed by R. A. Bouton et al. Although the correlation between fear of AIDS and homophobia was significant, results suggest the relation between them is weaker than it was 20 years prior to the present study. The ethnic populations represented in this study did not have greater fear of AIDS by gender. Considering ethnicity, female and male participants showed significant differences in homophobia. As in the original study, male participants were more homophobic than were female participants.     

Invariance in Measurement and Prediction Revisited

Borsboom (Psychometrika, 71:425–440, 2006) noted that recent work on measurement invariance (MI) and predictive invariance (PI) has had little impact on the practice of measurement in psychology. To understand this contention, the definitions of MI and PI are reviewed, followed by results on the consistency between the two forms of invariance in the general case. The special parametric cases of factor analysis (strict factorial invariance) and linear regression analyses (strong regression invariance) are then described, along with findings on the inconsistency between the two forms of invariance in this context. Two numerical examples of inconsistency are reviewed in detail. The impact of violations of MI on accuracy of selection is illustrated. Finally, reasons for the slow dissemination of work on invariance are discussed, and the prospects for altering this situation are weighed. This paper is based on the Presidential Address given at the International Meeting of the Psychometric Society in Tokyo, Japan, on July 11, 2007. This research was supported by National Institute of Mental Health grants 1P30 MH 068685-01A1 and RO1 MH64707-01.     

Academic Success of Mexican Origin Adolescent Boys and Girls: The Role of Mothers’ and Fathers’ Parenting and Cultural Orientation

To understand the role that Mexican origin parents play in their children's academic success, this study used structural equation modeling to evaluate the associations of parents' parenting practices (warmth, monitoring, harshness, and academic involvement) and cultural orientations (enculturation and acculturation) with their adolescents' grades, classroom behavior, and association with peers who get into trouble at school. Data were obtained from teachers, mothers, fathers, and male and female adolescents in 560 Mexican origin families living in the southwest U.S. Results indicated that mothers' and fathers' parenting practices and cultural orientations were linked to adolescents' academic outcomes. However, there were differences for boys and girls. Results are discussed in relation to parent and adolescent gender roles and implications for intervention.     

On the misuse of manifest variables in the detection of measurement bias

Measurement invariance (lack of bias) of a manifest variableY with respect to a latent variableW is defined as invariance of the conditional distribution ofY givenW over selected subpopulations. Invariance is commonly assessed by studying subpopulation differences in the conditional distribution ofY given a manifest variableZ, chosen to substitute forW. A unified treatment of conditions that may allow the detection of measurement bias using statistical procedures involving only observed or manifest variables is presented. Theorems are provided that give conditions for measurement invariance, and for invariance of the conditional distribution ofY givenZ. Additional theorems and examples explore the Bayes sufficiency ofZ, stochastic ordering inW, local independence ofY andZ, exponential families, and the reliability ofZ. It is shown that when Bayes sufficiency ofZ fails, the two forms of invariance will often not be equivalent in practice. Bayes sufficiency holds under Rasch model assumptions, and in long tests under certain conditions. It is concluded that bias detection procedures that rely strictly on observed variables are not in general diagnostic of measurement bias, or the lack of bias.Preparation of this article was supported in part by PSC-CUNY grant #661282 to Roger E. Millsap.     

An experimental test of the influence of selection procedures on fairness perceptions,attitudes about the organization,and job pursuit intentions

College juniors and seniors (N=184) reviewed a 12-page college recruiting brochure containing information about a large, high-technology corporation. Six versions of the brochure created a 2×3 experimental design in which the compensation and selection practices of the company were manipulated. Compensation and benefit packages were described as being either above or comparable to the industry average. The selection procedure was described as either a biodata inventory, an abstract cognitive test, or an in-basket simulation. We hypothesized that selection procedures would have an indirect, rather than direct, effect on attitudes about the organization and job pursuit intentions. LISREL analyses found good fits for the measurement model (RNI=.97) and the structural model (RNI=.95). All hypothesized paths were significant (p<.05) except for the path between compensation and attitudes about the organization. It is suggested that different selection procedures with comparable levels of validity may have different effects on candidates' attitudes about employers.     

Doctoral training in statistics, measurement, and methodology in psychology: replication and extension of Aiken, West, Sechrest, and Reno's (1990) survey of PhD programs in North America

In a survey of all PhD programs in psychology in the United States and Canada, the authors documented the quantitative methodology curriculum (statistics, measurement, and research design) to examine the extent to which innovations in quantitative methodology have diffused into the training of PhDs in psychology. In all, 201 psychology PhD programs (86%) participated. This survey replicated and extended a previous survey (L. S. Aiken, S. G. West, L. B. Sechrest, & R. R. Reno, 1990), permitting examination of curriculum development. Most training supported laboratory and not field research. The median of 1.6 years of training in statistics and measurement was mainly devoted to the modally 1-year introductory statistics course, leaving little room for advanced study. Curricular enhancements were noted in statistics and to a minor degree in measurement. Additional coverage of both fundamental and innovative quantitative methodology is needed. The research design curriculum has largely stagnated, a cause for great concern. Elite programs showed no overall advantage in quantitative training. Forces that support curricular innovation are characterized. Human capital challenges to quantitative training, including recruiting and supporting young quantitative faculty, are discussed. Steps must be taken to bring innovations in quantitative methodology into the curriculum of PhD programs in psychology.     

Using the Bollen-Stine Bootstrapping Method for Evaluating Approximate Fit Indices

Accepting that a model will not exactly fit any empirical data, global approximate fit indices quantify the degree of misfit. Recent research (Chen, Curran, Bollen, Kirby, & Paxton, 2008) has shown that using fixed conventional cut-points for approximate fit indices can lead to decision errors. Instead of using fixed cut points for evaluating approximate fit indices, this study focuses on the meaning of approximate fit and introduces a new method to evaluate approximate fit indices. Millsap (2012) introduced a simulation-based method to evaluate approximate fit indices. A limitation of Millsap's (2012) work was that a rather strong assumption of multivariate normality was implied in generating simulation data. In this study, the Bollen-Stine bootstrapping procedure (Bollen & Stine, 1993) is proposed to supplement the former study. When data are nonnormal, the conclusions derived from Millsap's (2012) simulation method and the Bollen-Stine method can differ. Examples are given to illustrate the use of the Bollen-Stine bootstrapping procedure for evaluating the Root Mean Squared Error of Approximation (RMSEA). Comparisons are made with the simulation method. The results are discussed, and suggestions are given for the use of proposed method.     

On component analyses

Principal components analysis can be redefined in terms of the regression of observed variables upon component variables. Two criteria for the adequacy of a component representation in this context are developed and are shown to lead to different component solutions. Both criteria are generalized to allow weighting, the choice of weights determining the scale invariance properties of the resulting solution. A theorem is presented giving necessary and sufficient conditions for equivalent component solutions under different choices of weighting. Applications of the theorem are discussed that involve the components analysis of linearly derived variables and of external variables.Preparation of this article was supported in part by National Institute of Aging Grant NIA-AG03164-03 to William Meredith.     

Mexican American Adolescents’ Cultural Orientation, Externalizing Behavior and Academic Engagement: The Role of Traditional Cultural Values

This study of 598 7th grade students of Mexican origin examined the role of traditional cultural values as a mediator of the effects of immigrant status, Mexican cultural orientation and Anglo cultural orientation on adolescent externalizing behavior and academic engagement. Immigrant status of adolescents and their maternal caregivers uniquely predicted increased Mexican cultural orientation and decreased Anglo cultural orientation, and both Mexican and Anglo cultural orientation related positively to adolescents’ endorsement of traditional cultural values. Endorsement of traditional cultural values related, in turn, to decreased externalizing behaviors and increased academic engagement and these findings were replicated across adolescent and teacher report of these two outcomes. Tests of mediation provided further evidence to support these pathways. Findings support the central importance of traditional cultural values as a protective resource that explains why immigrant youth exhibit fewer externalizing problems and increased academic engagement when compared to their second and third generation peers.     

Risk as a Moderator of the Effects of Prevention Programs for Children from Divorced Families: A Six-Year Longitudinal Study

Program by risk interactions were assessed to evaluate whether the long-term effects of two preventive interventions for children from divorced families were moderated by baseline levels of risk. Six-year prospective relations between childhood (ages 9-12) and adolescence (ages 15-19) were examined in 68 children who comprised the control group of a randomized trial. Analyses indicated that two childhood variables predicted multiple adolescent outcomes: environmental stressors and externalizing problems. A risk index composed of these 2 variables was highly predictive of internalizing and externalizing problems, competence, substance use, and mental disorder 6 years later. Analyses of the full sample (N = 218) indicated that program effects were greater for children with higher risk scores and that the programs attenuated the relation between risk and adolescent internalizing and externalizing problems, competence, and mental disorder.