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Tonmyr, Lil; Jack, Susan – Child Welfare, 2010
A media strategy was developed to disseminate Canadian child maltreatment surveillance data. Print media were systematically searched and 29 articles reporting on the data were retrieved. Using content analysis, the articles were analyzed to assess informational accuracy and to understand how the media framed the issue of maltreatment. This…
Descriptors: Child Abuse, Printed Materials, Content Analysis, Information Dissemination

English, Diana J.; Brandford, Carol C.; Coghlan, Laura – Child Welfare, 2000
Discusses the strengths and weaknesses of administrative databases, issues with their implementation and data analysis, and effective presentation of their data at different levels in child welfare organizations. Focuses on the development and implementation of Washington state's Children's Administration's administrative database, the Case and…
Descriptors: Case Records, Child Welfare, Data, Data Analysis

Fluke, John D.; Edwards, Myles; Kutzler, Patrick; Kuna, Joseph; Tooman, Gregory – Child Welfare, 2000
Describes the use of administrative data in support of a project to develop outcome measures for the Children and Youth Division of the Department of Human Services in Philadelphia, focusing on safety and permanency indicators for the in-home services program. Considers issues of data file construction and analysis, baseline results for in-home…
Descriptors: Child Welfare, Data Analysis, Data Collection, Family Programs

Schoech, Dick; Quinn, Andrew; Rycraft, Joan R. – Child Welfare, 2000
Examines the historical and larger context of data mining and describes data mining processes, techniques, and tools. Illustrates these using a child welfare dataset concerning the employee turnover that is mined, using logistic regression and a Bayesian neural network. Discusses the data mining process, the resulting models, their predictive…
Descriptors: Child Welfare, Data Analysis, Data Collection, Employment Patterns

Tatara, Toshio; And Others – Child Welfare, 1988
Suggests ways in which states that are administering a Title IV-E independent-living program may generate program and evaluation data to meet requirements of a federal program report. Presents two examples of current evaluations of independent-living programs. (RJC)
Descriptors: Child Welfare, Data Analysis, Data Collection, Evaluation Methods

Maza, Penelope L. – Child Welfare, 2000
Explores the history of the federal Adoption Incentive Program, the first federal child welfare outcome-based incentive program to rely solely on administrative data; discusses the program in the context of other federal child welfare incentive programs. Considers the use of data to project program utilization and costs, set baselines for the…
Descriptors: Adoption, Case Records, Child Welfare, Data Analysis

Webster, Daniel; Barth, Richard P.; Needell, Barbara – Child Welfare, 2000
Examined placement stability among a cohort of children in out-of-home care. Found that children in kinship care, regardless of age, had fewer placement moves than those in nonkinship care. Children who had more than one placement move during their first year were more likely to experience placement instability in long-term out-of-home care. (JPB)
Descriptors: Child Custody, Child Welfare, Data Analysis, Data Collection

Percy, Andrew; Carr-Hill, Roy; Dixon, Paul; Jamison, James Q. – Child Welfare, 2000
Describes study of administrative data from Northern Ireland on the costs of family and child care services, using small area utilization modeling, to derive a new set of needs indicators that could be used within the family and child care capitation funding formula. Argues that small area utilization modeling produces a fairer and more equitable…
Descriptors: Child Welfare, Data Analysis, Data Collection, Day Care

Murphey, David A.; Braner, Moshe – Child Welfare, 2000
Examined feasibility of linking administrative data sets for evaluation of home visiting as a strategy for reducing incidence of child abuse and neglect. Also examined associations between family characteristics and subsequent child maltreatment. Found home visiting efforts were targeted to the populations most at-risk for child maltreatment.…
Descriptors: At Risk Persons, Child Abuse, Child Neglect, Child Welfare

DiLeonardi, Joan W.; Yuan, Ying-Ying T. – Child Welfare, 2000
Discusses the value of administrative data to child welfare researchers. Considers issues in using client records--confidentiality, selection of data, historical data, sampling reliability, replication of findings, and access to data--that can be resolved in standardized ways. Notes other problematic issues, such as greater distance from subject,…
Descriptors: Case Records, Child Welfare, Data Analysis, Data Collection

Ernst, Joy Swanson – Child Welfare, 2000
Used administrative data, census data, and geographic information system technology to map and analyze the rates, distribution, and ecological correlates of child physical abuse, neglect and sexual abuse at the neighborhood level. Compared the distribution by neighborhood of three types of child abuse, and identified and compared neighborhood…
Descriptors: Child Abuse, Child Neglect, Child Welfare, Data Analysis

Garnier, Philip C.; Poertner, John – Child Welfare, 2000
Discusses development of indicators for the safety of children in out-of-home care using administrative data from the Illinois Department of Children and Family Services. Reports rates of abuse and neglect from 1996 to 1999, and presents an alternative that accounts for the length of time children are exposed to abuse or neglect. (JPB)
Descriptors: Child Abuse, Child Custody, Child Neglect, Child Safety

Graef, Michelle I.; Hill, Erick L. – Child Welfare, 2000
Details process of determining a child welfare agency's actual dollar costs directly attributed to protective services staff turnover, using the agency's human resources database and interviews with administrative personnel. Provides formulas and process for calculating specific cost elements due to employee separation, replacement, and training.…
Descriptors: Administrative Policy, Child Welfare, Data Analysis, Data Collection