‘The system is unfair’: Uncontrollable attributions for inequality predict more equitable giving in adolescents

Socioeconomic position is often determined by uncontrollable, structural factors, yet people from the United States tend to attribute wealth and poverty to individual control. However, information about behavioural correlates of such beliefs across development is relatively lacking. Thus, we examined adolescents' reasoning about the causes of inequality in a sample of 599 adolescents from a socioeconomically, ethnically, and racially diverse middle school (grades 6–8). Additionally, early adolescents were presented with two novel groups with an unexplained wealth disparity and given a task in which they could perpetuate or rectify inequality. We found that while adolescents tended to give equitably and rectify the inequality, this outcome was predicted by the type of explanation they gave for societal inequality. Furthermore, participants' socioeconomic status and sexual identity predicted their inequality explanations. These results add to our knowledge of adolescent reasoning about inequality by demonstrating a potential link between attributions for inequality and giving behaviour.     

Contingency table testing for categorical data: SAS implementation

Nonparametric and distribution-free tests of categorical data provide an evaluation of statistical significance between groups of subjects differing in their assignment to a set of categories. This paper describes an implementation in the SAS programming language of three tests to evaluate categorical data. One of these tests, the Contingency Table Test for Ordered Categories evaluates data assessed on at least an ordinal scale where the categories are in ascending or descending rank order. The remaining two tests, Fisher’s Fourfold-Table Test for Variables with Two Categories and Fisher’s Contingency Table Test for Variables with More than Two Categories, evaluate data assessed on either a nominal or an ordinal scale. The program described completes analysis of a 2°C categorical contingency table as would be obtained from the application of a multiple-level rating scale to the behavior of a treatment and a control group.     

Computerized speech recognition in psychological assessment: A Macintosh prototype for screening depressive symptoms

Computerized speech-recognition technology holds strong promise for psychological assessment. This paper focuses on a computerized speech recognition application for screening depressive symptomatology. A Macintosh-based prototype has been developed that uses the Center for Epidemiological Studies-Depression scale (CES-D). The prototype is a HyperCard stack interfaced with the Voice Navigator II speech recognition application. The “talking” program represents a viable depression screening tool that is fully voice operated by the respondent. A pilot study will assess the feasibility and acceptability of the computerized and written versions of the CES-D with a nonclinical adult population. A counterbalanced design will test for order effects and analyze the psychometric equivalence of the two methods. The limitations and future directions for speech-recognition applications in psychological assessment are discussed.     

The impact of variability and prechoice experience on taking safety measures: The case of security updates

The goal of this research is to clarify the conditions that trigger reluctance to take cost-effective safety measures. We present three experiments. In two of the experiments, the participants were asked to operate a simulated system for 20 periods, each with 10 trials. They could “update the system” to eliminate the risk of a “security failure” that led to a loss of 100 points. The updating cost was either fixed (at 10 points) or variable (initially 10 points, and some probability of free—0 points—updates). The optimal strategy prescribed updating at the first opportunity. Another experiment focused on one-shot decision under risk. The results highlight two factors that reduce the tendency to update and impair performance: cost variability and prechoice experience. Importantly, we show that the negative impact of cost variability is the product of two tendencies. First, experiencing periods with free updates slowed learning to select the optimal policy. Second, in many cases, the participants behaved as if they plan to update when the cost of updating is low but forget to do so. The results suggest that security can be enhanced by asking users to select a default updating policy before gaining experience and by replacing “free updates” with automatic updates. Information concerning the existence of automatic updates reduced manual updating, but this effect was eliminated by experience.     

Crossing the Threshold: The Spillover of Community Racial Diversity and Diversity Climate to the Workplace

We examined the spillover of community diversity to the workplace using a sample of 2,045 professionals living in communities across the U.S. Spillover effects were examined using 2 measures of community diversity: the degree to which employees were racially or ethnically similar to others in their community and perceptions of their community's diversity climate. Aligned with theories of group threat and racial segregation, Whites who were racially dissimilar to their communities expressed stronger intentions to leave their communities, and ultimately their workplaces, than those living in primarily White communities. However, community diversity climate offset these relationships; Whites who lived in communities that were racially dissimilar to them, but experienced the climate as inclusive, had lower moving intentions than those in communities that were experienced as racially intolerant. In contrast, for people of color, community diversity climate, rather than racial similarity to the community, predicted moving intentions. For both groups, the diversity climate in the community predicted moving intentions, which in turn predicted work turnover intentions, job search behaviors, and physical symptoms of stress at work. These findings suggest that the intention to leave one's community, and ultimately one's workplace, is influenced by community experiences and the community's perceived diversity climate.     

Neighborhood context and adjustment in African American youths from single mother homes: the intervening role of hopelessness

African American youths from single mother homes are more likely to live in neighborhoods characterized by greater risk and fewer resources than youth from two parent homes or European American youths; in turn, such adverse conditions are associated with increased adjustment problems. Despite this well-established vulnerability, relatively little is known about variables linking neighborhood context to youth adjustment. With the aim of identifying a potential youth-focused intervening variable amenable to intervention, this study examined the intervening role of hopelessness in the association between neighborhood context and adjustment problems in a sample of 171 African American youths (11-16 year olds) from single mother homes. Findings revealed direct associations between neighborhood context and youth adjustment, as well as indirect associations through youth hopelessness, although findings varied by the marker of neighborhood context (sense of community or perceived crime) and adjustment (internalizing or externalizing problems). Building on prior work noting that hopelessness is amenable to psychosocial intervention, the present findings suggest that hopelessness may afford a valuable target for prevention and intervention programming among African American youths from single mother homes in the context of adverse neighborhood conditions.