A Multilevel Contextual Model of Family Conflict and Deviance

This paper presents a multiple-group multivariate hierarchical specification of family problem behaviors across ethnicities using structural equation modeling techniques which explicitly model the individual-level and family-level covariance matrices in familial problem behavior. Analyses were conducted across White and African American ethnic groups. The sample (N = 1,168; 647 White and 521 African Americans) comprised children and their parents from 392 families. In addition to relations between family conflict and deviant behaviors, covariates were included at each level of analysis: neighborhood desirability at the family (between) level, and age and gender at the individual (within) level. At the between level, neighborhood desirability influenced family conflict and family conflict influenced family levels of deviance. At the within level, conflict was significantly related to individual levels of deviance. Discussion focuses on the substantive results as well as the application of multilevel analyses to contextual influences of family problem behavior.     

Reliability Beyond Theory and Into Practice

The critical reactions of Bentler (2009, doi:), Green and Yang (2009a, doi:; 2009b, doi:), and Revelle and Zinbarg (2009, doi:) to Sijtsma’s (2009, doi:) paper on Cronbach’s alpha are addressed. The dissemination of psychometric knowledge among substantive researchers is discussed.     

家庭因素与青少年犯罪的关系研究述评

随着犯罪理论（如社会控制理论、依恋理论、社会学习理论和问题行为理论）的不断发展,家庭因素与青少年犯罪关系的研究重点已由最初的家庭结构变量（如家庭完整性、家庭经济状况）逐渐扩展并聚焦在家庭功能变量（如家庭气氛、亲子依恋和亲子沟通等）和家庭成员行为变量（如教养方式、父母监控等）。近年来该研究领域开始深入探讨青少年认知过程在教养方式与青少年犯罪之间所起的中介作用,以及儿童青少年的人格、社区环境、神经生物学等变量与家庭因素的交互作用。最后本文总结了该领域研究的最新趋势和以往研究的不足     

Impact of School Psychological Environment Variables on Happiness of Korean Youths

Abstract: This study analyzed the structural relationships between school‐related psychological variables (teacher support, learning flow, friendship) and the happiness of Korean youths, and compared structural equation models for middle and high schools. Questionnaire data were collected from students in middle and high schools in 10 cities and provinces of Korea. The final data set from 870 students was analyzed with Amos 20.0. Goodness of fit indices for the hypothetical model were good, and all paths were significant. That is, a model incorporating indirect and direct impact of school‐related psychological environment variables, such as teacher support, learning flow, and friendship, on the happiness of Korean youths is valid. Second, structural equation models for middle and high schools demonstrated significant differences. Therefore, different types of assistance are needed to increase the happiness of students in middle schools and high schools.     

The unique correspondence of the item response function and item category response functions in polytomously scored item response models

The item response function (IRF) for a polytomously scored item is defined as a weighted sum of the item category response functions (ICRF, the probability of getting a particular score for a randomly sampled examinee of ability ). This paper establishes the correspondence between an IRF and a unique set of ICRFs for two of the most commonly used polytomous IRT models (the partial credit models and the graded response model). Specifically, a proof of the following assertion is provided for these models: If two items have the same IRF, then they must have the same number of categories; moreover, they must consist of the same ICRFs. As a corollary, for the Rasch dichotomous model, if two tests have the same test characteristic function (TCF), then they must have the same number of items. Moreover, for each item in one of the tests, an item in the other test with an identical IRF must exist. Theoretical as well as practical implications of these results are discussed.This research was supported by Educational Testing Service Allocation Projects No. 79409 and No. 79413. The authors wish to thank John Donoghue, Ming-Mei Wang, Rebecca Zwick, and Zhiliang Ying for their useful comments and discussions. The authors also wish to thank three anonymous reviewers for their comments.     

Structural equation models with continuous and polytomous variables

A two-stage procedure is developed for analyzing structural equation models with continuous and polytomous variables. At the first stage, the maximum likelihood estimates of the thresholds, polychoric covariances and variances, and polyserial covariances are simultaneously obtained with the help of an appropriate transformation that significantly simplifies the computation. An asymptotic covariance matrix of the estiates is also computed. At the second stage, the parameters in the structural covariance model are obtained via the generalized least squares approach. Basic statistical properties of the estimates are derived and some illustrative examples and a small simulation study are reported.This research was supported in part by a research grant DA01070 from the U. S. Public Health Service. We are indebted to several referees and the editor for very valuable comments and suggestions for improvement of this paper. The computing assistance of King-Hong Leung and Man-Lai Tang is also gratefully acknowledged.     

Parameterizing inequality constraints on unique variances in linear structural models

Current computer programs for analyzing linear structural models will apparently handle only two types of constraints: fixed parameters, and equality of parameters. An important constraint not handled is inequality; this is particularly crucial for preventing negative variance estimates. In this paper, a method is described for imposing several kinds of inequality constraints in models, without the necessity for having computer programs which explicitly allow such constraints. The examples discussed include the prevention of Heywood cases, extension to inequalities of parameters to be greater than a specified value, and imposing ordered inequalities. Work on this project was aided by the City University of New York—Professional Staff Congress Research Award Program Grant Number 13631.     

Interpreting the WPPSI subtests scores of language impaired children--a structural approach

The problem of characterising more specifically the cognitive requirements involved in subtests from standardised measures of intelligence represents a main problem in the research on exceptional populations. Seventy-five specifically language impaired (SLI) preschool children and 49 normally developing children were administered the Wechsler Preschool and Primary Scale of Intelligence (WPPSI). The scaled scores on the WPPSI were categorised according to Bannatyne's suggested regrouping to determine whether the pattern Spatial > Conceptual > Sequential could be observed in the data. The predicted pattern was only partially confirmed for language impaired children. The scaled scores on the WPPSI were then recategorized according to their structural complexity. Since structurally complex tasks contain more categories than the structurally simpler tasks, the pattern structurally Simple > Moderate > Complex was predicted and confirmed for language impaired children. Furthermore, it was hypothesized that the structurally Complex categories would discriminate better between language-impaired children and normally developing children than any other recoded categories. This hypothesis was confirmed. The low scores obtained by language impaired children on structurally Complex categories were interpreted as the result of capacity limitations in information processing rather than a deficit of any particular mental ability.     

INCREASING HABILITATIVE SERVICES FOR PERSONS WITH PROFOUND HANDICAPS: AN APPLICATION OF STRUCTURAL ANALYSIS TO STAFF MANAGEMENT

We evaluated a structural analysis methodology for enhancing the utility of a staff management program. In Experiment 1, a structural analysis of direct-care staff behavior in a mental retardation facility revealed differences in work patterns over time. Specific times were identified when few basic care duties were necessary and staff engaged in nonwork activity. In Experiment 2, a management program was implemented to increase staff members' training activities during periods identified through the structural analysis. The program was accompanied by increases in training activities and decreases in nonwork behavior. The improvements were maintained during a 43-week period while the most labor-intensive component of the program was withdrawn. Staff acceptability measures indicated a positive response to the management intervention, although responses varied across components within the multifaceted program. The increased training was accompanied by beneficial changes among clients with profound handicaps. Results are discussed regarding practical considerations for improving staff performance and for adopting innovations resulting from applied research.