A confirmatory factor analysis on the DSM-IV ADHD and ODD symptoms: what is the best model for the organization of these symptoms?

Confirmatory factor analysis (CFA) was used to evaluate five different models for the organization of the DSM-IV ADHD and oppositional defiant disorder (ODD) symptoms (Model 1: a single factor model; Model 2: an ADHD and ODD two factor model; Model 3a: an inattention (INA), hyperactivity/impulsivity (HYP/IMP), and ODD three factor model; Model 3b: an INA, HYP/IMP, and ODD three factor model where the three IMP symptoms cross-load on the ODD factor; Model 4: an INA, HYP, IMP, and ODD four factor model). To evaluate these models, maternal ratings of ADHD and ODD symptoms were obtained at outpatient pediatric clinics on 742 children not in treatment and 91 children in treatment for ADHD. Model 3a resulted in a good fit as well as a significantly better fit than Model 2. Model 3a was also equivalent across treatment status, gender, and age groupings for the most part. Though Models 3b and 4 provided a statistically better fit than Model 3a, the improvement in fit was small and other model selection criteria argued against these more complex models.     

Work attitudes, employment barriers, and mental health symptoms in a sample of rural welfare recipients

Most of the extant research on welfare reform has neglected to consider the experiences of families in rural settings. Fifty women receiving welfare for their dependent children in a rural community were interviewed about their work experiences and aspirations, barriers to employment and service use, as well as mental health and social support. The findings indicate that the majority of participants were connected to the labor force and expressed positive attitudes about work. Barriers to employment (lack of available jobs, child care) and service use (transportation, inconvenient office hours) were endorsed. Perceived social support was negatively related to depression symptoms and positively related to self-efficacy and self-esteem. The importance of understanding the life experiences of welfare recipients in different contexts is discussed.     

Male Mental Health Problems, Psychopathy, and Personality Traits: Key Findings from the First 14 Years of the Pittsburgh Youth Study

This paper reviews key findings on juvenile mental health problems in boys, psychopathy, and personality traits, obtained in the first 14 years of studies using data from the Pittsburgh Youth Study. This is a study of 3 samples, each of about 500 boys initially randomly drawn from boys in the 1st, 4th, and 7th grades of public schools in Pittsburgh. The boys have been followed regularly, initially each half year, and later at yearly intervals. Currently, the oldest boys are about 25 years old, whereas the youngest boys are about 19. Findings are presented on the prevalence and interrelation of disruptive behaviors, ADHD, and depressed mood. Results concerning risk factors for these outcomes are reviewed. Psychological factors such as psychopathy, impulsivity, and personality are described. The paper closes with findings on service delivery of boys with mental health problems.     

转型期初中生心理健康与父母养育方式的研究

本研究采用《心理健康诊断量表》和《父母养育方式问卷》对196名初中生进行测量,探讨初中生心理健康与父母养育方式的影响因素及其相互之间的关系。结果表明,初中生的心理健康问题的检出率依次是自责倾向、恐怖倾向、冲动倾向和对人焦虑;性别因素只在心理健康的学习焦虑、养育方式上的父亲的惩罚、严厉、母亲的过干涉、过保护、父母的拒绝、否认等因素上表现出了显著差异;独生子女与非独生子女子女比较,在恐怖倾向以及惩罚、严厉的养育方式上存在显著差异;父母的文化程度、职业状况、离异、下岗等因素,只有母亲的职业状况因素对心理健康构成了影响;父母消极的教养方式将使学生的焦虑增加,母亲积极的教养方式将使学生的焦虑减少。     

Treating aerophagia with contingent physical guidance

Contingent physical guidance was used to treat chronic aerophagia. This consisted of guiding the participant's hand over her mouth following each attempt to engage in aerophagia. A wristwatch was then correlated with the contingent physical guidance procedure. Responding remained low in the presence of the wristwatch, even after contingent physical guidance was withdrawn.     

MCMC estimation and some model-fit analysis of multidimensional IRT models

A Bayesian procedure to estimate the three-parameter normal ogive model and a generalization of the procedure to a model with multidimensional ability parameters are presented. The procedure is a generalization of a procedure by Albert (1992) for estimating the two-parameter normal ogive model. The procedure supports analyzing data from multiple populations and incomplete designs. It is shown that restrictions can be imposed on the factor matrix for testing specific hypotheses about the ability structure. The technique is illustrated using simulated and real data. The authors would like to thank Norman Verhelst for his valuable comments and ACT, CITO group and SweSAT for the use of their data.     

The Factor Structure of the Beavers Interactional Scales Revisited

The present study addressed limitations of a recent confirmatory factor analytic study challenging the hypothesized factor structure of the Beavers Interactional Scales. That dataset (n = 97) was reanalyzed and two additional datasets (n = 95, n = 91) were explored. With all three samples, taken separately and together, the Beavers Systems Model, when operationalized in the BIS, was not supported. A body of evidence is accumulating which suggests that clinicians and researchers should be wary of the BIS.     

Rotation in the dynamic factor modeling of multivariate stationary time series

A special rotation procedure is proposed for the exploratory dynamic factor model for stationary multivariate time series. The rotation procedure applies separately to each univariate component series of aq-variate latent factor series and transforms such a component, initially represented as white noise, into a univariate moving-average. This is accomplished by minimizing a so-called state-space criterion that penalizes deviations of the rotated solution from a generalized state-space model with only instantaneous factor loadings. Alternative criteria are discussed in the closing section. The results of an empirical application are presented in some detail.This research was supported by the Institute for Developmental and Health Research Methodology, University of Virginia.     

Self-Report Differentiation of Anxiety and Depression in a Mood Disorders Sample

Several lines of research suggest there is considerable overlap between anxiety and depression and that it is difficult to distinguish between these two constructs. However, a few studies utilizing factor analytic procedures have provided evidence that anxiety and depression can be differentiated when measures of these constructs are considered at the item level. In addition, there is some evidence that differentiation can be accomplished in samples experiencing high levels of anxiety (i.e., a clinically anxious sample; B. J. Cox, R. P. Swinson, L. Kuch, & J. Reichman, 1993). In the present study, this research strategy was extended to a sample of patients with high levels of depressed mood (i.e., a mood disorders sample; N = 378). Their responses to widely used measures of depression (i.e., Beck Depression Inventory; A. T. Beck, C. H. Ward, M. Mendelson, J. Mock, & J. Erbaugh, 1961) and anxiety (i.e., Spielberger State-Trait Anxiety Inventory—State subscale; C. D. Spielberger, R. L. Gorsuch, & R. E. Lushene, 1970) were entered into a principal-components analysis with oblique rotation. A 4-factor solution was retained. This solution was comprised of factors representing anxiety, anxiety absent (a reverse scored factor), cognitive symptoms of depression, and somatic/vegetative symptoms of depression. These findings indicated that anxiety and depression, as emotional states, can be differentiated within a mood disorders sample, using existing popular self-report measures. The clinical and research implications of these findings are briefly discussed.     

The Relationship of Functional Variables and Psychopathology to Aggressive Behavior in Persons With Severe and Profound Mental Retardation

A number of hypotheses have emerged regarding the etiology of physical aggression in persons with mental retardation. Although a multicomponent model is appropriate, results of functional analysis-based studies have yielded promising results in identifying instigating and maintaining factors of aggression. However, the relationship between functional variables and conditions such as psychiatric diagnosis to aggressive behavior has yet to be investigated in persons with mental retardation. We conducted a study examining the prevalence of environmental or physical factors in aggressive behavior in mentally retarded persons with and without psychiatric disturbance. One hundred and thirty-five individuals with mental retardation who exhibited physical aggression were assessed with the Questions About Behavior Function Scale (QABF) to identify environmental or physical contribution to aggressive behavior. One or more behavioral functions were identified for 75% of the participants. Additionally, of 66 of the participants scoring above the clinical cutoff on an assessment for dual diagnosis, 75% met criteria for an environmental or physical function for aggression. No significant differences in number of participants with an identifiable function of aggression were found between the no dual diagnosis and dual diagnosis groups. Our findings underscore the importance of identifying functions underlying aggressive behavior in persons with mental retardation, and the need to consider functional variables regardless of psychiatric condition in treatment planning efforts for such individuals.