Multilevel Investigation into the Community Context of Child Maltreatment

Official rates of child maltreatment vary considerably from community to community. Extensive research on the role of the community context in maltreatment suggests that the neighborhood in which families live could impact their maltreatment behavior. However, the vast majority of existing studies and literature reviews on the topic have not used statistical methods to appropriately control for the impact of these variables at the individual level. This literature review approaches the question of whether the community context affects maltreatment behavior above and beyond the individual-level variables by critiquing the studies that have successfully measured maltreatment risks at both the individual and community level using multilevel modeling.     

Leader‐driven distortion of probability and payoff information affects choices between risky prospects

Research indicating that decision makers often distort new information to favor nascent preferences has focused primarily on riskless choice rather than risky choice. In addition, the critical assumption that information distortion mediates the link between the initially preferred alternative and the final choice has not been tested in a compelling manner. In an experiment designed to fill these gaps, participants made six choices involving pairs of hypothetical three‐outcome monetary gambles. We manipulated initial preferences by varying the order in which gamble features were presented. Multilevel regressions indicated that participants distorted their evaluations of precise probabilities and payoffs in the direction of their emerging preferences and that they used their biased evaluations to update those preferences. As expected, information distortion mediated the effect of initial preferences on final choices and final preference strength. In a follow‐up experiment, we compared a standard measure of information distortion (based on comparisons to mean ratings in a no‐choice control task) to a more personalized measure (based on participants' own ratings in the control task) and found the mean‐based measure to be superior for the probability and payoff information in question. Other findings in Experiment 2 corroborated the results of Experiment 1. In both studies, the distortion of quantitative inputs in a simple task highlights the non‐normative circularity of the choice process. Copyright © 2010 John Wiley & Sons, Ltd.     

Opposition to Antiracism Laws Across Swiss Municipalities: A Multilevel Analysis

Public opposition to antiracism laws—an expression of prejudice toward immigrants—is widespread in Switzerland as well as in other European countries. Using data from the European Social Survey 2002 (N = 1,711), the present study examined across Swiss municipalities individual and contextual predictors of opposition to such laws and of two well‐established antecedents of prejudice: perceived threat and intergroup contact. The study extends multilevel research on immigration attitudes by investigating the role of the ideological climate prevailing in municipalities (conservative vs. progressive), in addition to structural features of municipalities. Controlling for individual‐level determinants, stronger opposition to antiracism laws was found in more conservative municipalities, while the proportion of immigrants was positively related to intergroup contact. Furthermore, in conservative municipalities with a low proportion of immigrants, fewer intergroup contacts were reported. In line with prior research, intergroup contact decreased prejudiced policy stances through a reduction of perceived threat. Overall, this study highlights the need to include normative and ideological features of local contexts in the analysis of public reactions toward immigrants.     

Latent variable modeling in heterogeneous populations

Common applications of latent variable analysis fail to recognize that data may be obtained from several populations with different sets of parameter values. This article describes the problem and gives an overview of methodology that can address heterogeneity. Artificial examples of mixtures are given, where if the mixture is not recognized, strongly distorted results occur. MIMIC structural modeling is shown to be a useful method for detecting and describing heterogeneity that cannot be handled in regular multiple-group analysis. Other useful methods instead take a random effects approach, describing heterogeneity in terms of random parameter variation across groups. These random effects models connect with emerging methodology for multilevel structural equation modeling of hierarchical data. Examples are drawn from educational achievement testing, psychopathology, and sociology of education. Estimation is carried out by the LISCOMP program.Presidential address delivered at the Psychometric Society meetings in Los Angeles, USA and Leuven, Belgium, July 1989. The research was supported by Grant No. SES-8821668 from the National Science Foundation and by Grant No. OERI-G-86-003 from the Office for Educational Research and Improvement, Department of Education. I thank Leigh Burstein, Mike Hollis, Linda Muthén, and Albert Satorra for helpful discussions and Tammy Tam, Jin-Wen Yang, Suk-Woo Kim, and Lynn Short for computational assistance. Designs were created by Arlette Collier, Rita Ling and Jennifer Edic-Bryant.     

Multilevel covariance structure analysis of sibling substance use and intrafamily conflict

Conventional covariance structure analysis, such as factor analysis, is often applied to data that are obtained in a hierarchical fashion, such as siblings observed within families. A more appropriate specification is demonstrated which explicitly models the within-level and between-level covariance matrices of sibling substance use and intrafamily conflict. Participants were 267 target adolescents (mean age=13.11 years) and 318 siblings (mean age=15.03 years). The level of homogeneity within sibling clusters, and heterogeneity among families, was sufficient to conduct a multilevel covariance structure analysis (MCA). Parental and family-level variables consisting of marital status, socioeconomic status, marital discord, parent use, and modeling of substances were used to explain heterogeneity among families. Marital discord predicted intrafamily conflict, and parent marital status and modeling of substances predicted sibling substance use. Advantages and uses of hierarchical designs and conventional covariance structure software for multilevel data are discussed.     

组织研究中的多层面问题

多层面理论（multilevel theory）已成为组织研究中的一个新范式,它可以研究微观和宏观二者之间的交互作用。为了给组织研究者提供一个思考和决策框架,文章在简要回顾多层面研究的来源后,介绍了3种集体层面的结构、集体层面结构的5种“构成模型”（composition model）、以及1个判断框架,并介绍了多层面研究中常用的4个论证指标（rwg、ICC（1）、ICC（2）、WABAI）的算法和区别,最后对常用的3种分析方法（WABA：within-and-between-analysis、HLM：hierarchical linear modeling、CLOP：cross-level operator）进行了简单介绍和比较。     

班级环境变量对儿童社会行为与学校适应间关系的影响

运用同伴提名和问卷法,对82个城市初中班级的4650名学生进行了测试,并使用多水平分析技术探讨了班级环境变量对儿童社会行为和学校适应间关系的影响。结果显示：儿童的亲社会行为可以显著地正向预测其同伴接受和学业成就,儿童的攻击、退缩行为对学业成就和同伴接受有明显的负向预测效果;在班级环境变量方面,老师支持可以减弱退缩行为和学校适应间的负向联系;老师训诫不仅可以减弱攻击行为与同伴接受间的负向关联,并且对退缩行为与学业成就之间的负向联系也具有削弱效果;同学关系这一变量的班级效果最为明显,可以明显地增强儿童问题行为与学校适应间的负向联系;而班级秩序纪律对攻击行为和学校适应间的负向关联有明显的强化效果。     

Variation in hypothalamic-pituitary-adrenal axis activity among bullied and non-bullied children

We examined the relationship between being bullied during childhood and activity of the hypothalamic-pituitary-adrenal (HPA) axis as assessed through repeated measures of salivary cortisol. A non-clinical sample of 154 (74 boys) predominantly Caucasian middle-class 12-year-olds each provided detailed information about their experiences with bullying and six saliva samples were standardized across time and day. Children with a history of child maltreatment, diagnosed psychiatric illness, foster care placement, medication use (psychotropic and oral contraception) and aggression directed toward peers and/or family members were excluded. Using multilevel regression and applying orthogonal polynomial contrasts to model the observed circadian pattern in the data, we found that occasional and frequent verbal peer victimization was associated with hyposecretion of cortisol when controlling for sex, pubertal status, age, depression and anxiety. This relation, however, was moderated by sex. For boys, occasional exposure was associated with higher cortisol levels, whereas for girls exposure was associated with lower cortisol levels. The present study highlights the need to consider the plight of peer-victimized children seriously, as it is associated with alterations to the HPA axis that affect males and females differently, and likely diminishes a person's ability to cope with stress, possibly placing them at risk for psychopathology and ill health.     

Bayesian estimation of a multilevel IRT model using gibbs sampling

In this article, a two-level regression model is imposed on the ability parameters in an item response theory (IRT) model. The advantage of using latent rather than observed scores as dependent variables of a multilevel model is that it offers the possibility of separating the influence of item difficulty and ability level and modeling response variation and measurement error. Another advantage is that, contrary to observed scores, latent scores are test-independent, which offers the possibility of using results from different tests in one analysis where the parameters of the IRT model and the multilevel model can be concurrently estimated. The two-parameter normal ogive model is used for the IRT measurement model. It will be shown that the parameters of the two-parameter normal ogive model and the multilevel model can be estimated in a Bayesian framework using Gibbs sampling. Examples using simulated and real data are given.     

领导力的整合：Trickle-down模式下的领导效应

Trickle-down模式正逐渐成为领导效应研究的新范式。它阐释了组织中较高层次领导的行为或其认知如何沿着组织的垂直管理层次自上而下层层滴漏。该模式通过对领导行为联动效应和多层配对的剖析, 弥补了传统研究聚焦于单一层次领导研究的不足。系统梳理trickle-down模式下的领导效应之涵义特征、理论基础、效能机制, 并深入探讨已有研究的欠缺, 对于实现领导力的整合、拓展本土化的领导行为研究具有重要意义。