Observational Effects on Preference Selection for Four Children on the Autism Spectrum: A Replication

Individuals with autism have been noted to have restricted interests and repetitive behavior such as nonfunctional manipulation of objects. In this study, we used an observational conditioning procedure to switch the preference of items for four individuals diagnosed with autism who are considered lower functioning. The procedure consisted of the participant observing an adult playing with toys that were initially non‐preferred by the participant in a functional and engaging manner. For two participants, results were similar to the findings by Leaf; one participant required additional conditioning procedures, and we were unable to switch the preference for the other participant. Copyright © 2015 John Wiley & Sons, Ltd.     

Is the Bifactor Model a Better Model or Is It Just Better at Modeling Implausible Responses? Application of Iteratively Reweighted Least Squares to the Rosenberg Self-Esteem Scale

Although the structure of the Rosenberg Self-Esteem Scale (RSES) has been exhaustively evaluated, questions regarding dimensionality and direction of wording effects continue to be debated. To shed new light on these issues, we ask (a) for what percentage of individuals is a unidimensional model adequate, (b) what additional percentage of individuals can be modeled with multidimensional specifications, and (c) what percentage of individuals respond so inconsistently that they cannot be well modeled? To estimate these percentages, we applied iteratively reweighted least squares (IRLS) to examine the structure of the RSES in a large, publicly available data set. A distance measure, d_s, reflecting a distance between a response pattern and an estimated model, was used for case weighting. We found that a bifactor model provided the best overall model fit, with one general factor and two wording-related group factors. However, on the basis of d_r?values, a distance measure based on individual residuals, we concluded that approximately 86% of cases were adequately modeled through a unidimensional structure, and only an additional 3% required a bifactor model. Roughly 11% of cases were judged as “unmodelable” due to their significant residuals in all models considered. Finally, analysis of d_s revealed that some, but not all, of the superior fit of the bifactor model is owed to that model's ability to better accommodate implausible and possibly invalid response patterns, and not necessarily because it better accounts for the effects of direction of wording.     

Critical issues in experimental studies of prosociality in non-human species

Prosociality and acts of altruism are defined as behaviours which benefit another with either no gain or some immediate cost to the self. To understand the evolutionary origins of these behaviours, in recent years, studies have extended to primate species; however, studies on non-primates are still scarce. In light of the fact that phylogenetic closeness to humans does not appear to correlate with prosocial tendencies, but rather differences in the propensity towards prosociality may be linked to allomaternal care or collaborative foraging, it appears that convergent selection pressures may be at work in the evolution of prosociality. It would hence seem particularly important to extend such studies to species outside the primate clade, to allow for comparative hypothesis testing of the factors affecting the evolution of prosocial behaviours. In the current review, we focus on the experimental paradigms which have been used so far (i.e. the prosocial choice task, helping paradigms and food-sharing tests) and highlight the strengths and weaknesses of each method. In line with the aim of encouraging a broader comparative approach to the topic of prosociality, particular emphasis is placed on the methodological issues that need to be taken into account. We conclude that although a number of the paradigms used so far may be successfully applied to non-primate species, there is a need to simplify the cognitive demands of the tasks and ensure task comprehension to allow for a ‘fair’ comparative approach of prosocial tendencies across species.     

Resilience Among Women with HIV: Impact of Silencing the Self and Socioeconomic Factors

In the U.S., women account for over a quarter of the approximately 50,000 annual new HIV diagnoses and face intersecting and ubiquitous adversities including gender inequities, sexism, poverty, violence, and limited access to quality education and employment. Women are also subjected to prescribed gender roles such as silencing their needs in interpersonal relationships, which may lessen their ability to be resilient and function adaptively following adversity. Previous studies have often highlighted the struggles encountered by women with HIV without focusing on their strengths. The present cross-sectional study investigated the relationships of silencing the self and socioeconomic factors (education, employment, and income) with resilience in a sample of women with HIV. The sample consisted of 85 women with HIV, diverse ethnic/racial groups, aged 24–65 enrolled at the Chicago site of the Women’s Interagency HIV Study in the midwestern region of the United States. Measures included the Connor-Davidson Resilience Scale -10 item and the Silencing the Self Scale (STSS). Participants showed high levels of resilience. Women with lower scores on the STSS (lower self-silencing) reported significantly higher resilience compared to women with higher STSS scores. Although employment significantly related to higher resilience, silencing the self tended to predict resilience over and above the contributions of employment, income, and education. Results suggest that intervention and prevention efforts aimed at decreasing silencing the self and increasing employment opportunities may improve resilience.     

Merging the Religious Congregations and Membership Studies: A Data File for Documenting American Religious Change

The decennial religious congregations and membership studies are a popular data source for analyzing local religious composition and diversity, but several methodological challenges hinder merging the datasets for longitudinal analyses. In this paper, we introduce strategies for addressing four of the most serious challenges: religious mergers and schisms, changes in membership standards within certain groups, missing data and changes in county boundaries. In doing so we successfully merge the 1980, 1990, 2000 and 2010 collections and build new longitudinal datasets of congregational and membership counts at the state and county levels. These changes increase religious group representation from 48 to 76, reduce bias from missing data, allow for the more reliable inclusion of 20–23 million adherents in each year, and improve overall ease of use. We also document instances when corrections were not possible and alert readers to the limitations of the merged files when measuring change among certain groups. The new longitudinal files are accessible from theARDA.com.     

Peers,Social Control,or Guilt? Self-Conscious Emotions as Explanation for Antisocial Behavior

Criminologists rarely include self-conscious emotions like guilt or shame to explain delinquency. Instead, factors external to the individual are often used, such as social institutions, the family, or peers. This study uses a longitudinal sample of 526 youth from two waves of survey data to assess the effects of peer influences, social control, and the self-conscious emotion of guilt on youth problem behaviors. Problem behavior is measured using teacher assessments at Time2. All other variables are baseline youth self-report measures that were collected at Time1. The results show that guilt statistically predicted teacher-assessed problem behaviors. Further work is needed to develop this measure in criminology.     

Aprendiendo de La Vida (Learning from Life): Development of a Radionovela to Promote Preventive Health Care Utilization among Indigenous Farmworkers from Mexico Living in California

Journal of Medical Humanities - Mixtecs and Zapotecs, originating from the Oaxaca area in Mexico, are among the largest indigenous groups of workers in California. Many adults in this community...