Multilevel correlates of behavioral resilience among children in child welfare

Resilience, defined as positive adaptation and functioning following exposure to significant adversity, is an important topic of investigation in child welfare. The current study used data from the Ontario Looking After Children (OnLAC) project to estimate the prevalence of behavioral resilience (i.e., lower frequency of conduct and emotional problems, higher frequency of prosocial behavior) in 531 5–9 year olds living in out-of-home care, and to determine how behaviorally-resilient children are functioning in other domains (i.e., peer relationships and academic performance). Furthermore, hierarchical linear modeling was used to examine the contribution of four levels of analysis (i.e., child, family, child welfare worker, and child welfare agency) on behaviors and to identify the contribution of predictor variables within each of these levels. Findings indicated that 50–70% of children exhibited resilience on one behavioral outcome while approximately 30% showed resilience on at least two of the outcomes. Also, 8.4–9.6% exhibited resilience on one of the behavioral outcomes in addition to peer relationships and academic performance. The child level accounted for the highest proportion of total explained variance in behavioral outcomes, followed by the family-, child welfare worker-, and child welfare agency-levels. A number of child and foster family variables predicted behavioral functioning. Findings indicate that it is important to inquire about children's functioning across multiple domains to obtain a comprehensive developmental assessment. Also, child and foster family characteristics appear to play considerable roles in the promotion of behavioral resilience.     

Launching the Virtual Academic Center: Issues and Challenges in Innovation

In October 2010, the University of Southern California School of Social Work entered the online education environment with the launch of the first national web-based MSW program. After an initial enrollment of 80 students, in just 3 years this state-of-the-art MSW, offered in a technology-advanced synchronous and asynchronous format, has generated an enrollment of 2,000 students residing in 38 states. The development and rapid growth of the Virtual Academic Center has not been without significant challenges, the most substantial of which has been the creation of a national field education program. This paper describes the MSW courses taught in the online environment, and pedagogical hurdles faced in order to maintain the educational quality that is the hallmark of the School's campus-based MSW program.     

Development of the child care worker job stress inventory

After a series of instrument development studies, a mail survey was conducted with 196 randomly selected family day care providers (FDCPs) and child care center workers (CCCWs) residing in the state of Maryland (response rates were 76.6% and 70.5%, respectively). Embedded in the instrument were three job stress scales, specific to child care workers, measuring job demands, job control, and job resources. Extensive psychometric testing of the three 17-item instruments demonstrated several areas of strength. The job demands scale, because of its breadth of stressors covered, fared slightly worse on indicators of reliability (alpha = 0.77; mean interitem correlation [MIC] = 0.17; item-to-total correlations [ITCs] = 0.14 to 0.49) than did job control (alpha = 0.88; MIC = 0.31; ITCs = 0.26 to 0.69) and job resources (alpha = 0.89; MIC = 0.35; ITCs = 0.32 to 0.70). Known groups validity was demonstrated through a conceptually meaningful pattern of differences between FDCPs and CCCWs. Construct validity for all three scales was demonstrated by a pattern of stronger correlations with conceptually similar versus dissimilar instruments. Average correlations with similar versus dissimilar instruments were: job demands, 0.54 versus 0.24; job control, 0.74 versus 0.30; and job resources, −0.53 versus 0.30. Similar to the reliability analysis, results of factor analysis were stronger for job control and job resources than for job demands.     

Improving teacher prediction of children at risk for reading failure

Whether screening tests or teacher ratings best predict children at risk for reading failure continues to be an area of disagreement in the early identification literature. Our early studies confirmed low positive identification rates (30%) when kindergarten teachers were asked to predict future reading achievement using a traditional rating scale, while a project-developed, theory-based screening battery correctly identified 81% of poor readers. Construction of a teacher rating scale of current skill levels on research-validated precursors to reading improved prediction in the current study, although results were still inferior to the screening test (64% and 80% valid positives, respectively). Combining test results and teacher ratings resulted in 88% identification of those who failed in first, second, or third grade, suggesting that both teacher ratings and screening tests should be used to identify the largest number of those who will later fail in reading. © 1998 John Wiley & Sons, Inc.