Identifying Children in Middle Childhood Who Are at Risk for Reading Problems

The purpose of this study was to identify and evaluate a universal screening battery for reading that is appropriate for older elementary students in a response to intervention model. Multiple measures of reading and reading correlates were administered to 230 fourth-grade children. Teachers rated children's reading skills, academic competence, and attention. Children were classified as not-at-risk or at-risk readers based on a three-factor model reflecting reading comprehension, word recognition/decoding, and word fluency. Predictors of reading status included group-administered tests of reading comprehension, silent word reading fluency, and teacher ratings of reading problems. Inclusion of individually administered tests and growth estimates did not add substantial variance. The receiver-operator characteristic curve analysis yielded an area under the curve index of 0.90, suggesting this model may both accurately and efficiently screen older elementary students with reading problems.     

A Latent Class Analysis of Childhood Maltreatment: Identifying Abuse Typologies

Multiple forms of abuse may co-occur, resulting in specific abuse typologies. A stratified random probability survey was conducted in Denmark with 4,718 participants, aged 24, from the 1984 birth cohort. A total of 2,980 interviews were successfully conducted. Latent class analysis was implemented using 20 categorical abuse experience items across four domains of childhood maltreatment. Logistic regression was conducted to ascertain whether abuse typologies could be differentiated by child protection status and gender. Four distinct abuse typologies were revealed: a non-abused group, a psychologically maltreated group, a sexually abused group, and a group experiencing multiple abuse types. Child protection status and female gender were predictive of group membership in certain abused groups compared to a non-abused group.     

Delinquent Development in Dutch Childhood Arrestees: Developmental Trajectories,Risk Factors and Co-morbidity with Adverse Outcomes during Adolescence

Heterogeneity of re-offending patterns was studied in a group of 287 male early onset offenders who were first arrested before age 12. By combining data on the frequency and severity of offending as registered by the police over a 5-year follow-up period, three delinquent trajectories were identified; low, escalating, and high level re-offenders. Predicting group membership by individual and environmental characteristics known to the police at the time of the first arrest proved difficult. Compared to low level re-offenders, escalators were older and more often came from disadvantaged neighborhoods. High level re-offenders were also older at onset, more often had a non-Western ethnic background, and initially committed more vandalism. Furthermore, at the first police encounter, the police reacted more severely towards those who later became high level re-offenders. Finally, high and escalating re-offenders more often had other adverse outcomes, such as criminal victimization and Child Welfare Agency involvement.

Identifying Students at Risk: An Examination of Computer-Adaptive Measures and Latent Class Growth Analysis

Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening. Participants included 3,699 students in Grades 3–5. Three time points of administration (fall, winter, and spring) of the computer-adaptive reading measure were selected. LCGA results indicated 6–7 classes, depending on grade, informed by level and growth in student performance that significantly predicted failure on the statewide test administered at the end of the year. The lowest-performing classes had failure rates above 90% across all grades. The results indicate that identifying homogeneous groups of learners through LCGA may be valuable as an approach to determining students who need additional instruction. Practical implications and future directions are discussed.     

Latent Classes of Psychiatric Symptoms Among Chinese Children Living in Poverty

Describing co-occurring symptom patterns among children in nonwestern contexts may have important implications for how emotional and behavior problems are defined, conceptualized, studied, and ultimately prevented. A latent profile analysis (LPA) was conducted on the co-occurring psychiatric symptoms of 196 Chinese children living in poverty. Child depression, anxiety, aggression, and self-esteem scores were used as indicators in the LPA. Three classes of symptoms best described the symptom presentations of children in this study. Ninety-one percent of the youth in the sample were assigned to a class without clinically significant elevations on any symptom index. Six percent fell into an externalizing class, and 3% were assigned to a class with elevated internalizing symptoms. The three classes met empirical criteria for distinctiveness and were validated against parent- and child-rated family characteristics and resources. Children in the externalizing class were more likely to experience harsh and neglectful parenting and their parents were more likely to report avoidant coping styles. In addition to some parenting behaviors (overprotection and low parental support), internalizing symptoms were uniquely associated with low levels of education, housing, economic, and social resources. Implications for preventive interventions are discussed.     

童年早期社会能力的发展：一个潜变量增长模型

对119名幼儿进行历时两年的三次追踪测试, 采用潜变量增长建模, 检验童年早期的社会能力是否呈线性增长, 并考察气质、性别、母亲受教育程度及其交互作用对社会能力发展水平与速度的预测作用。结果发现：(1)社会能力在两年中呈线性增长, 起始水平及发展速度均存在显著的个体差异; (2)女孩起始的社会能力水平高于男孩; 母亲受教育程度越高, 儿童起始的社会能力水平就越高; (3)气质节律性对社会能力增长速度的预测因儿童性别而异：节律性能够负向预测女孩社会能力的增长速度、正向预测男孩社会能力的增长速度。     

Significance of Childhood Conduct Problems to Later Development of Conduct Disorder Among Children With ADHD: A Prospective Follow-Up Study

This study investigates whether low to moderate levels of childhood oppositional defiant disorder (ODD) and conduct disorder (CD) behaviors contribute to the development of clinically diagnosed CD in adolescence, in children with attention deficit hyperactivity disorder (ADHD). Participants were 207 White boys (ages 6-12) with ADHD free of conduct disorder diagnoses. Parent and teacher ratings were obtained. Participants were assessed at mean age 18 by clinicians blind to childhood status. A non-ADHD group (recruited in adolescence) was also studied. ODD behavior ratings did not predict CD in adolescence, whereas CD behavior ratings did. No single ODD or CD behavior predicted adolescent outcome. ADHD probands with very low ratings (Not at all, Just a little) by parents and teachers on all CD behaviors were still at significantly increased risk for CD in adolescence, compared to non-ADHD controls. The same relationships were found between childhood ODD and CD behaviors, and antisocial personality disorder in adulthood (mean age, 25). We conclude that childhood ADHD is a developmental precursor of later antisocial disorder, even in the absence of comorbid ODD or CD in childhood. However, low levels of CD-type problems are not innocuous, because they predict later CD among children with ADHD without comorbid CD.     

Heroin Use Among Southern Arrestees: Regional Findings From the Arrestee Drug Abuse Monitoring Program

The identification of jurisdictional drug use patterns is critical to counselors who address substance abuse proactively. In the current study, heroin use data were analyzed from adult arrestees who were surveyed between 1990 and 1997 through the Arrestee Drug Abuse Monitoring program.     

Delineating Selection and Mediation Effects Among Childhood Personality and Environmental Risk Factors in the Development of Adolescent Substance Abuse

Utilizing the large, longitudinal Minnesota Twin Family Study (N?=?2510; 96 % European American ancestry), we examined the influence of several person-environment transactions on adolescent substance abuse. We focused on the two childhood personality traits found to be most predictive of substance abuse in this sample—socialization (willingness to follow rules and endorse conventional values) and boldness (social engagement and assurance, stress resilience, thrill seeking)—and the environmental variables of antisocial and prosocial peers, academic engagement, parent–child relationship quality, and stressful life events. Path analysis revealed that low socialization had a selection effect for each environmental risk factor, that is, socialization at age 11 predicted environmental risk at age 14, after controlling for the stability of the environmental variables from ages 11 to 14. Antisocial peers and academic engagement at age 14 then mediated some of the risk of low socialization on substance abuse at age 17, but the majority of risk for substance abuse was accounted for by the stability of socialization from age 11 to 14. Boldness at age 11 also increased risk for substance abuse, but did so primarily via a direct effect. The findings help to parse the nature of person-environment transactions across multiple personality traits and contextual risk factors that contribute to adolescent substance abuse.     

Biased Risk Perceptions Among Japanese: Illusion of Interdependence Among Risk Companions

In human history the unit of survival has often been the group rather than the individual. I hypothesized, therefore, that people would feel safer in the presence of risk companions (i.e., those who are exposed to the same risk source) than when they are on their own, even when such expectations are not justifiable on normative grounds. Two experiments lent support to the hypothesis. Participants were asked to estimate the risk level involved either in six hypothetical situa-tions (Experiment 1: N = 112) or real electric shocks (Experiment 2: N = 81) with varying numbers of risk companions. The participants' perceived risk level decreased as the number of risk companions increased. People appear to use a cognitive heuristic, which I term interdependence heuristic , in risk perception.     

Future Expectations Among Adolescents: A Latent Class Analysis

Future expectations have been important predictors of adolescent development and behavior. Its measurement, however, has largely focused on single dimensions and misses potentially important components. This analysis investigates whether an empirically-driven, multidimensional approach to conceptualizing future expectations can substantively contribute to our understanding of adolescent risk behavior. We use data from the National Longitudinal Survey of Youth 1997 to derive subpopulations of adolescents based on their future expectations with latent class analysis. Multinomial regression then determines which covariates from Bronfenbrenner's ecological systems theory are associated with class membership. After modeling these covariates, we examine whether future expectations is associated with delinquency, substance use, and sexual experience. Our analysis suggests the emergence of four distinct classes labeled the Student Expectations, Student/Drinking Expectations, Victim Expectations, and Drinking/Arrest Expectations classes according to their indicator profiles. These classes differ with respect to covariates associated with membership; furthermore, they are all statistically and differentially associated with at least one adolescent risk behavior. This analysis demonstrates the additional benefit derived from using this multidimensional approach for studying future expectations. Further research is needed to investigate its stability and role in predicting adolescent risk behavior over time.     

The Development of Co-Occurrent Anxiety and Externalizing Problems from Early Childhood: a Latent Transition Analysis Approach

Research on Child and Adolescent Psychopathology - Research into co-occurrent internalizing and externalizing problems during childhood is flourishing. In particular, investigation on the...     

The Development of Latent Dimensions of Psychopathology across Early Childhood: Stability of Dimensions and Moderators of Change

Recent research has described the structure of psychopathology as including one general and multiple specific factors, and this structure has been found in samples across development. However, little work has examined whether this structure is consistent across time, particularly in young children, within the same sample. Further, few studies have examined factors that influence the magnitude of the stability of latent dimensions of psychopathology. In the present study, we examine these issues in a community sample of 545 children assessed at ages 3 and 6. In addition, we explored child temperament, parental history of psychopathology, and parenting behaviors as potential moderators of the longitudinal stability of latent dimensions of psychopathology. We found that the same bifactor model structure identified at age 3 provided an adequate fit to the data at age 6. Further, our model revealed significant homotypic stability of the general, internalizing, and externalizing specific factors. We also found evidence of differentiation of psychopathology over time with the general factor at age 3 predicting the externalizing factor at age 6. However, we failed to identify moderators of the longitudinal associations between psychopathology latent factors. Overall, our results bolster support for the bifactor structure of psychopathology, particularly in early childhood.     

Convergence of Sibling Risk Among Children of Parents with Serious Mental Disorders

We examined child psychiatric diagnoses, behavioral problems, overall symptom impairment, global psychological functioning, intellectual ability, and adaptive behavior in 83 sibling pairs whose mothers were diagnosed with a serious mental disorder. Sibling pairs were assessed for the extent to which they converged on the presence or absence of risk on each adverse outcome and then examined under conditions of high vs. low/moderate family stress. Consistent with the study hypotheses, we found that on each outcome assessed there was evidence for sibling convergence of risk. In addition, family stress was found to significantly moderate sibling risk convergence. The results are discussed in terms of their implications for understanding sibling convergence of risk in these families and for clinical and preventive intervention.     

Simultaneous Decision on the Number of Latent Clusters and Classes for Multilevel Latent Class Models

The Multilevel Latent Class Model (MLCM) proposed by Vermunt (2003) has been shown to be an excellent framework for analyzing nested data with assumed discrete latent constructs. The nonparametric version of MLCM assumes 2 levels of discrete latent components to describe the dependency observed in data. Model selection is an important step in any statistical modeling. The task of model selection for MLCM amounts to the decision on the number of discrete latent components at both higher and lower levels and is more challenging than standard Latent Class Models. In this article, simulation studies were conducted to systematically examine the effects of sample sizes, clusters/classes distinctness, and the number of latent clusters and classes on the performance of various information criteria in recovering the true latent structure. Results of the simulation studies are summarized and presented. The final section presents the remarks and recommendations about the simultaneous decision regarding the number of latent classes and clusters when applying MLCMs to analyze empirical data.     

Modular Treatment for Children and Adolescents With Problematic School Absenteeism: Development and Description of a Program in Germany

Problematic school absenteeism is defined as absence from school occurring with a clinical-level mental disorder. It represents a higher-order term for school refusal, school truancy, and the combination thereof and is associated with an increased risk for school dropout, prolonged mental disorders, and unemployment. This article describes the manualized modular treatment of problematic school absenteeism (MT) by a multiprofessional team. The manual was developed to target a broad spectrum of mental disorders characterized by internalizing but also externalizing behavior. The therapeutic focus is on the reintegration into school and on the cognitive behavioral treatment of the mental disorder. The MT is based on a multilevel model of problematic school absenteeism. The treatment is informed by an extensive case-conceptualization and addresses motivational aspects by offering a low-threshold therapeutic design and motivational interviewing. Core interventions are represented in four modules: cognitive behavioral therapy, family counseling, school counseling, and a psychoeducational physical exercise program. A case vignette provides an illustration of the treatment and the specific graduated approach for school reintegration. The current modular approach is discussed in relation to other cognitive-behavioral manuals targeting a broad spectrum of mental disorders or school refusal.