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Studies into the effects of stereotype threat (ST) on test performance have shed new light on race and sex differences in achievement and intelligence test scores. In this article, the authors relate ST theory to the psychometric concept of measurement invariance and show that ST effects may be viewed as a source of measurement bias. As such, ST effects are detectable by means of multigroup confirmatory factor analysis. This enables research into the generalizability of ST effects to real-life or high-stakes testing. The modeling approach is described in detail and applied to 3 experiments in which the amount of ST for minorities and women was manipulated. Results indicate that ST results in measurement bias of intelligence and mathematics tests.

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In the present paper, a general class of heteroscedastic one-factor models is considered. In these models, the residual variances of the observed scores are explicitly modelled as parametric functions of the one-dimensional factor score. A marginal maximum likelihood procedure for parameter estimation is proposed under both the assumption of multivariate normality of the observed scores conditional on the single common factor score and the assumption of normality of the common factor score. A likelihood ratio test is derived, which can be used to test the usual homoscedastic one-factor model against one of the proposed heteroscedastic models. Simulation studies are carried out to investigate the robustness and the power of this likelihood ratio test. Results show that the asymptotic properties of the test statistic hold under both small test length conditions and small sample size conditions. Results also show under what conditions the power to detect different heteroscedasticity parameter values is either small, medium, or large. Finally, for illustrative purposes, the marginal maximum likelihood estimation procedure and the likelihood ratio test are applied to real data.

Child maltreatment (CM) is associated with poor long-term health outcomes. However, knowledge about CM prevalence and related consequences is scarce among adults in South European countries. We examined the self-reported prevalence of five different forms of CM in a community sample of 1,200 Portuguese adults; we compared the results with similar samples from three other countries, using the same instrument. We also explored the relationship between CM and psychological symptoms. Cross-sectional data using the Childhood Trauma Questionnaire-Short Form and the Brief Symptom Inventory were analyzed. Moderate or severe CM exposure was self-reported by 14.7% of the sample, and 67% was exposed to more than one form of CM. Emotional neglect was the most endorsed experience, with women reporting greater emotional abuse and men reporting larger physical abuse. Physical and sexual abuse was less self-reported by Portuguese than by American or German subjects. CM exposure predicted 12.8% of the psychological distress. Emotional abuse was the strongest predictor for psychological symptoms, namely for paranoid ideation, depression, and interpersonal sensitivity. Emotional abuse overlapped with the exposure to all other CM forms, and interacted with physical abuse, physical neglect, and emotional neglect to predict psychological distress. Low exposure to emotional abuse was directly associated with the effects of physical abuse, physical neglect, and emotional neglect to predict adult psychological distress. Verbal abuse experiences were frequently reported and had the highest correlations with adult psychological distress. Our results underline the potential hurtful effects of child emotional abuse among Portuguese adults in the community. They also highlight the need to improve prevention and intervention actions to reduce exposure and consequences of CM, particularly emotional abuse.