The consequences of chronic stereotype threat: Domain disidentification and abandonment

Stereotype threat impairs performance across many domains. Despite a wealth of research, the long-term consequences of chronic stereotype threat have received little empirical attention. Beyond the immediate impact on performance, the experience of chronic stereotype threat is hypothesized to lead to domain disidentification and eventual domain abandonment. Stereotype threat is 1 explanation why African Americans and Hispanic/Latino(a)s "leak" from each juncture of the academic scientific pipeline in disproportionately greater numbers than their White and Asian counterparts. Using structural equation modeling, we tested the stereotype threat-disidentification hypothesis across 3 academic years with a national longitudinal panel of undergraduate minority science students. Experience of stereotype threat was associated with scientific disidentification, which in turn predicted a significant decline in the intention to pursue a scientific career. Race/ethnicity moderated this effect, whereby the effect was evident for Hispanic/Latino(a) students but not for all African American students. We discuss findings in terms of understanding chronic stereotype threat. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

Familias Unidas’ Crossover Effects on Suicidal Behaviors among Hispanic Adolescents: Results from an Effectiveness Trial

The long‐term impact of Familias Unidas on suicidal behaviors among Hispanic 8th graders (N = 746) was examined along with parent–adolescent communication as a moderator of intervention effectiveness. At baseline, 9.2% (95% CI = 7.3%–11.6%) of adolescents reported suicide ideation and 5.7% (95% CI = 4.1%–7.7%) reported a past year suicide attempt. There were no significant intervention effects on suicidal behaviors; however, parent–adolescent communication was a moderator of suicide attempts in the past year, across the intervention (b = ?.01, p = .01). Results suggest that Familias Unidas reduces suicidal behaviors among Hispanic adolescents with low levels of parent–adolescent communication despite no suicide‐specific intervention content. Implications of these findings are discussed.     

Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion

Abstract

Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score (LCS) models provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.