The protective role of higher intellectual functioning on violence in the household population of Great Britain

Despite compelling evidence of the effect of intelligence on delinquency and violent crime, there is limited data on its impact on population violence. We aimed to determine the association of categories of intelligence with violent behaviors in the general population and the extent of the impact of social class on these associations. A randomly selected sample of 14,738 individuals was derived from 2 British national surveys of adults aged 16 years and older. We measured self-reported violent behavior in the past 5 years, including: repetition, injury, violence while intoxicated, familial and extra-familial victim types and intimate partner violence. We examined the moderating role of social class on all outcomes. The increased risk of violence among persons of below average IQ was explained by social class at population level. High IQ had an overall protective effect on all outcomes except violence towards family members, irrespective of socio-economic circumstances. Social class moderated the association of IQ with violence by decreasing its protective effect among those in the lowest socio-economic positions. Our findings suggest that the association of IQ and violence is not linear but protective on population level. Social class has both an explaining and a moderating role in this association.     

Investigating How Test-Takers Change Their Strategies to Handle Difficulty in Taking a Reading Comprehension Test: Implications for Score Validation

This article investigates how test-takers change their strategies to handle increased test difficulty. An adult sample reported their test-taking strategies immediately after completing the tasks in a reading test. Data were analyzed using structural equation modeling specifying a measurement-invariant, ability-moderated, latent transition analysis in Mplus (Muthén & Asparouhov, 2011). It was found that almost half of the test-takers (47%) changed their strategies when encountering increased task-difficulty. The changes were characterized by augmenting comprehending-meaning strategies with score-maximizing and test-wiseness strategies. Moreover, test-takers' ability was the driving influence that facilitated and/or buffered the changes. The test outcomes, when reviewed in light of adjusted test-taking strategies, demonstrated a form of process-based validity evidence.     

Intersectional experiences of discrimination in a low‐resource urban community: An exploratory latent class analysis

There have been increasing calls for the application of an intersectionality framework to understand and address discrimination and health inequities among diverse communities. Yet there have been theoretical debates regarding to whom intersectionality applies and how intersectional experiences of discrimination are associated with health outcomes. The current study aimed to contribute to these theoretical debates and inform practical applications to reduce health inequities. Data were drawn from a community health survey in New Haven, CT (N = 1,293 adults) and analysed using latent class analysis. Results yielded 4 classes. Members of the 4 classes were similar sociodemographically. Three classes of participants reported experiencing discrimination, and members of these classes had greater stress, higher rates of smoking and sleep disruption, and worse overall health than members of the class reporting no discrimination. Members of 2 classes made multiple, or intersectional, attributions for discrimination, and members of these classes reported the most frequent discrimination. Findings suggest that community members who are sociodemographically similar may have diverse discrimination experiences. Multilevel interventions that address multiple forms of discrimination (e.g., racism and sexism) may hold promise for reducing discrimination and, ultimately, health inequities within low‐resource urban community settings.     

Natural Mentors,Social Class,and College Success

Natural mentors provide advice, moral support, and assistance to adolescents who aspire to obtain a postsecondary degree, but past studies of the benefits of having an informal adult mentor have yet to resolve several issues. Our analyses of a national sample of high school graduates test three hypotheses: (H1) natural mentoring increases the odds of college attendance and completion, (H2) guidance and career advice are more important for college success than encouragement or role modeling, and (H3) students from poor and working‐class families benefit more from mentoring than students from middle‐ and upper‐class families. Hypotheses 1 and 3 are clearly supported when examining the odds of attending college, while Hypothesis 2 was not supported—encouragement and role modeling boost attendance, not advice or practical help. None of the hypotheses is supported when predicting degree completion among those who matriculated. As natural mentors do not appreciably increase the odds of completing college, we conclude past studies have overstated the postsecondary educational benefits of natural mentors.     

Two-Stage maximum likelihood estimation in the misspecified restricted latent class model

The maximum likelihood classification rule is a standard method to classify examinee attribute profiles in cognitive diagnosis models (CDMs). Its asymptotic behaviour is well understood when the model is assumed to be correct, but has not been explored in the case of misspecified latent class models. This paper investigates the asymptotic behaviour of a two-stage maximum likelihood classifier under a misspecified CDM. The analysis is conducted in a general restricted latent class model framework addressing all types of CDMs. Sufficient conditions are proposed under which a consistent classification can be obtained by using a misspecified model. Discussions are also provided on the inconsistency of classification under certain model misspecification scenarios. Simulation studies and a real data application are conducted to illustrate these results. Our findings can provide some guidelines as to when a misspecified simple model or a general model can be used to provide a good classification result.     

初中生班级团体依恋、自悯与学习倦怠的关系

本研究采用青少年学习倦怠量表、班级团体依恋问卷、自悯量表、青少年父母同伴依恋问卷、生活满意度量表、和自编学业满意度问题对658名初中生进行问卷调查,考察当代初中生对其所在班级的团体依恋和自悯与学习倦怠之间的关系,并检验自悯在班级团体依恋和学习倦怠关系中的中介作用。结果发现：在控制了人口学变量、父母依恋、同伴依恋、学业满意度和生活满意度之后,（1）班级团体依恋焦虑和回避均能显著正向预测学习倦怠;（2）自悯显著负向预测学习倦怠;（3）自悯在班级团体依恋焦虑和学习倦怠的关系中起到完全中介的作用,而在班级团体依恋回避和学习倦怠的关系中起部分中介的作用。研究结果对于从班级团体依恋和自悯的角度理解中学生学习倦怠具有重要意义。