Backlash against male elementary educators

We investigated the existence, nature, and processes underscoring backlash (social and economic penalties) against men who violate gender stereotypes by working in education, and whether backlash is exacerbated by internal (vs. external) behavioral attributions. Participants (N = 303) rated one of six applications for an elementary teaching position, identical apart from target gender and behavioral attribution type. Male applicants were rated as more likely to be gay, posing a greater safety threat, and less likeable (but not less hireable) than identical female applicants. Perceived sexuality and threat mediated target gender differences in likeability. Unexpectedly, behavioral attributions did not interact with target gender, suggesting that providing internal attributions may not exacerbate men's backlash. Implications for backlash theory and education gender disparities are discussed.     

Collateral Reports and Cross-Informant Agreement about Adult Psychopathology in 14 Societies

To advance international mental health assessment, instruments that have been internationally validated are needed. To this end, we analyzed ratings from 14 societies on the Adult Behavior Checklist (ABCL), a collateral-report form parallel to the Adult Self-Report (ASR; Achenbach and Rescorla 2003) for ages 18 to 59. Both the ABCL and the ASR assess problems, personal strengths, and adaptive functioning. For a sample of 8322 see note below collaterals, we found strong consistency across societies regarding which ABCL problem items tended to obtain relatively low, medium, or high ratings. Most societal effect sizes (ESs) for problem scale scores were small to medium (< 13.9 %), but the ES for the ABCL Personal Strengths scale was 25 %. For most of the same participants (N = 8,302), we analyzed cross-informant agreement between self-reports on the ASR and collateral reports on the ABCL. Cross-informant correlations for problem scale scores averaged .47, with considerable societal variation. Problem score means were higher on the ASR than the ABCL in every society, but the size of the difference varied across societies. Mean item ratings on the ABCL and ASR were highly correlated within every society (mean r = .92), but within-dyad item rating agreement varied widely in every society (mean r = .39). In all societies, non-corroboration of self-reported deviance and of collateral-reported deviance was common. Overall findings indicated considerable similarity but also some important differences in collateral-reported problems and adaptive functioning across 14 societies.     

Measuring adult indirect aggression: The development and psychometric assessment of the indirect aggression scales

This paper describes the development of a psychometric measure of indirect aggression for use in an adult population. Items were generated from a series of qualitative interviews. Two versions of the scale were developed; the Indirect Aggression Scale Aggressor version (IAS‐A) and Target version (IAS‐T). Both versions of the scale were administered to separate samples (n_A=294; n_T=294). Scales were analysed using item analysis of internal consistency, as well as exploratory factor analysis. Both versions were found to have the same consistent three sub‐scales: social exclusion, use of malicious humour, and guilt induction. Preliminary psychometric evaluation suggests that the scales are both sufficiently reliable (with Cronbach's alphas ranging from .81 to .89) and valid. There were no gender differences in either using or being the victim of indirect aggression, and the behaviour was significantly negatively correlated with age. Future validation and potential usage of the measures are discussed. Aggress. Behav. 31:1–14, 2005. © 2005 Wiley‐Liss, Inc.     

Logics for Epistemic Programs

We construct logical languages which allow one to represent a variety of possible types of changes affecting the information states of agents in a multi-agent setting. We formalize these changes by defining a notion of epistemic program. The languages are two-sorted sets that contain not only sentences but also actions or programs. This is as in dynamic logic, and indeed our languages are not significantly more complicated than dynamic logics. But the semantics is more complicated. In general, the semantics of an epistemic program is what we call aprogram model. This is a Kripke model of ‘actions’,representing the agents' uncertainty about the current action in a similar way that Kripke models of ‘states’ are commonly used in epistemic logic to represent the agents' uncertainty about the current state of the system. Program models induce changes affecting agents' information, which we represent as changes of the state model, called epistemic updates. Formally, an update consists of two operations: the first is called the update map, and it takes every state model to another state model, called the updated model; the second gives, for each input state model, a transition relation between the states of that model and the states of the updated model. Each variety of epistemic actions, such as public announcements or completely private announcements to groups, gives what we call an action signature, and then each family of action signatures gives a logical language. The construction of these languages is the main topic of this paper. We also mention the systems that capture the valid sentences of our logics. But we defer to a separate paper the completeness proof. The basic operation used in the semantics is called the update product. A version of this was introduced in Baltag et al. (1998), and the presentation here improves on the earlier one. The update product is used to obtain from any program model the corresponding epistemic update, thus allowing us to compute changes of information or belief. This point is of interest independently of our logical languages. We illustrate the update product and our logical languages with many examples throughout the paper.     

Examining the Association Between Body Mass Index and Weight Related Quality of Life in Black and White Women

Obesity not only increases risk for morbidity/mortality, but also impacts the quality of life of obese individuals. In the United States, black women have the highest prevalence of obesity of any other group with approximately 80% of black women over age 20 having a body mass index (BMI)????25?kg/m². We aimed to examine the association between BMI and quality of life in this high risk population compared to this association in white women, using the Impact of Weight on Quality of Life (IWQOL)-Lite questionnaire. Data from 172 black women (mean BMI?=?35.7; age?=?40.5) and 171 white women (mean BMI?=?35.5; age?=?40.4) were collected between 2000 and 2010 analyzed in 2010. The mean IWQOL-Lite total score was 81.6 for black women compared to 66.9 for white women, a statistically significant difference. Hierarchical linear regression models revealed a significant BMI-by-race interaction indicating that the relationship between BMI and IWQOL-Lite score was moderated by race. Our findings suggest notable differences in weight-related quality of life in black and white women. At similar BMIs, black women consistently reported better quality of life than white women on all IWQOL-Lite subscales. The greatest difference in IWQOL-Lite scores between black and white women was seen in the self-esteem subscale. Additional research is needed to understand how to incorporate the weight perspectives of black women into weight management messages and interventions.     

Minimising risks and distractions for young drivers and their passengers: An evaluation of a novel driver–passenger training program

The purpose of the present study was to evaluate a pilot program designed to teach communication skills to young drivers and passengers. Sixty-two young males recruited as 31 pairs of friends, all aged between 18 and 21 years and holding a probationary drivers licence, were randomly assigned to a training or no-training condition. A training program was developed based upon elements of existing team training programs. Driver and passenger pairs operated a driving simulator through scenarios designed to measure aspects of safe driving behaviour and hazard response. Communications between driver and passenger were also measured. All participants were administered the Driver Behaviour Questionnaire before and approximately 2 months after simulator testing. Compared to the untrained group the trained participants exhibited a larger following distance, reduced speed significantly when faced with an unexpected hazard on the road, and exhibited more safe communications. Although current passenger restrictions are warranted, the present results reveal an alternative view of adolescent passengers: rather than being a negative influence on drivers, adolescent passengers can potentially be trained to become a positive influence.     

Development of a repeated measures affective change blindness task

Flicker-induced change blindness paradigms have been used to explore attentional biases for a range of concern-related cues. However, previous studies have had limitations related to concerns about carryover effects in repeated measures designs, as well as problems with response modalities. The present article develops a repeated measures paradigm utilising nonverbal responses and explores the implications of these design modifications for the reliability and validity of the paradigm. Affective stimuli were presented to participants, and the results suggest that the modified paradigm is a useful tool for assessing attentional bias. A number of recommendations for the future use of this methodology are made.