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Using a Decision-Making Ecology (DME) approach and proportional hazards models, the study isolated four case factor profiles that interacted strongly with race and resulted in disparate reunification outcomes for African American children compared with Anglos. The four interrelated factors were drug involvement, a solo infant case, single mothers, and relative placements. A cohort of 21,763 children from the Texas Department of Family and Protective Services who were placed for the first time in care, who were under 13 and either Anglo or African American were followed for 20 months or more post entry into care. Starting with an initial model consisting of main effects only and consistent with other studies, African American children had a 12% lower hazard rate of reunification compared to Anglo children. However, when a set of case profiles involving combinations of single parents, single infants, drug involvements and kinship placements were crossed with race, the magnitude of the effect of race on hazard rates fanned out from no difference to as much as 68% that of Anglo children. The results show that racial disparities in outcomes resulting from complex, contextual decision making cannot be modeled well with simple main effects models.

The Decision Making Ecology provided a framework for empirically testing the impact of Case, Caseworker and Organizational factors on the decision to place children in out-of-home care. The structural equation model we developed fit the data extremely well, indicating a complex relationship between the variables. The main findings indicate that Case factors, even as aggregated to the worker level, were of most importance: Percent Removed was increased in part by greater average Risk being assessed and more families on a worker's caseload being Low Income. Furthermore, removal rates were increased by lower proportions of Hispanic families on the caseload, as well as lower organizational support, and a perception of manageable workload and sufficient resources. Individual factors, i.e., variables characterizing the caseworkers themselves, were not found to directly influence the placement decision, including workers' own race/ethnicity, though various orders of mediated effects were indicated, and these are detailed. Interrelationships between variables that affect case, caseworker and organizational factors are discussed along with implications for practice.

Objectives: To understand the features of child abuse/neglect (CA/N) allegations in cases with emotional maltreatment (EMT) allegations, as well as the features of the EMT allegations themselves, and to describe any associations of EMT with distinct impairments of children's behavior, emotion and functioning. Method: The sample consisted of 806 high-risk children, 545 with one or more maltreatment reports to CPS. The Maltreatment Classification System was used to record the number and severity levels of maltreatment allegations, which compared cases with and without EMT. Multiple regression analyses were conducted using 10 outcome scales from the Child Behavior Checklist, Vineland Screener, and Trauma Symptom Checklist. Successive blocks of predictor variables included demographics, maltreatment classification variables, maternal and family characteristics, and study site. Results: When there were allegations of EMT as well as CA/N in a CPS case-record (by age 8), the CA/N allegations tended to be either more frequent or less severe than those kinds of allegations in cases without EMT. When neglect was alleged to occur with EMT, neglect allegations outnumbered allegations of EMT. However, when sexual abuse allegations were accompanied by EMT allegations, there were more EMT allegations than sexual abuse allegations in the cases. Higher severity ratings for EMT allegations than for physical abuse occurred when cases included any abuse. Distinctive effects of EMT subtypes were found between problems of safety/restriction and self-reported anger symptoms, and between problems of self-esteem/autonomy and posttraumatic stress. Conclusion: Differences exist between the CA/N allegations in cases with and without EMT. Having few cases containing only EMT allegations made it difficult to assess distinctive harm associated with EMT. Certain types of EMT allegations were associated with increases in children's anger and posttraumatic stress.

Objective: The primary aim of the study was to identify a classification scheme, for determining the predominant type of maltreatment in a child's history that best predicts differences in developmental outcomes. Method: Three different predominant type classification schemes were examined in a sample of 519 children with a history of alleged maltreatment. Cases were classified into predominant maltreatment types according to three different schemes: 1. Hierarchical Type (HT)—based on a hierarchy of types that prioritizes active forms of abuse over passive abuse; 2. Severity/Frequency Type (SFT)—sorts cases into the type of maltreatment associated with the highest severity or frequency rating; 3. Expanded Hierarchical Type (EHT)—differentiates multiple maltreatment type combinations from “pure” or single sub-types. Hierarchical regression analyses examined whether the HT, SFT, and EHT type classifications contributed to prediction of child behavior problems, trauma symptoms and adaptive functioning. Results: After controlling for demographic factors, the HT definitions predicted four outcomes, while the SFT definitions predicted three, and the EHT classifications contributed to the prediction of five child outcomes. The co-occurrence of multiple types of maltreatment was robustly related to outcomes. However, the HT and SFT classifications predicted outcomes even after accounting for the co-occurrence of multiple maltreatment subtypes. Conclusion: A classification scheme that differentiates between type combinations and single maltreatment types may have the greatest predictive validity. Over and above knowing about co-occurrence of maltreatment sub-types, it is important to understand what type, or constellation of types, of maltreatment have been alleged in a child's history.

Objective: The aim of this exploratory study was to examine the extent to which, in combination, the best constructions of basic dimensions of maltreatment, identified in other papers from LONGSCAN, predict child outcomes. Method: Maltreatment records of a sample of 203 children were used to define dimensions of maltreatment related to Type, Severity, Chronicity, and Age at First Report. The definitions were based upon findings presented in other papers in this special issue. Children's behavioral and emotional functioning was examined at age 8 using standardized measures of problem behaviors, socialization and adaptation, and trauma symptomatology. Backward elimination regression was used to screen for interactions among the dimensions; regression models including dimensions and significant interactions were then run for each child outcome. Stratified partial correlations were utilized to explicate significant interactions. Results: Individual maltreatment dimensions were found to have distinct effects on child functioning. Additionally, dimensions of maltreatment were interrelated and interacted in determining outcomes. Type of maltreatment (as indicated by the maximum severity rating of each type) was the most consistent predictor across outcomes, albeit different types predicted different outcomes. Various dimensional interactions were significant predictors of different outcomes. Conclusion: The results suggest that a comprehensive assessment of a child's maltreatment experience, including type and severity, when the maltreatment began and the pattern of maltreatment across the life span, is important to understanding the effects of maltreatment on children's growth and development.

Objective: For nearly 25 years researchers have suggested that better taxonomic systems conceptualizing and reliably differentiating among different dimensions of maltreatment are required. This study examines the utility of three different characterizations of one dimension of maltreatment, chronicity, to predict child behavioral and emotional functioning in a sample of maltreated children. A secondary objective of the study is to examine additional parameters of maltreatment inherent in our definitions of chronicity: age at first report to CPS, extent and continuity of maltreatment. Method: The study consists of children reported for maltreatment ( N = 519) from the larger LONGSCAN study cohort. Lifetime maltreatment data were collected from CPS records and coded into two chronicity constructs: “developmental” and “calendar” definitions. Variables for age at first report, frequency, extent and continuity of maltreatment reports also were constructed. Hierarchical regression analyses were utilized to determine the extent to which the various chronicity constructs contributed to the prediction of child outcomes. Results: The most salient definition of chronicity, in terms of its effects on child behavioral and emotional functioning, varied by outcome. The developmental definition was found to have the most balanced sensitivity across outcomes. Among other significant findings, extent and continuity of maltreatment contributed respectively to the prediction of behavior and emotional trauma symptoms. Early age at first report was a predictor of poor daily living skills. Conclusion: Chronicity is a complex construct. Findings indicate there are multiple parameters that make up the chronicity construct itself that may be important for understanding child outcomes.