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Evaluation Methods

Reports

Displaying 11 - 19 of 19. 10 per page. Page 2.

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Substance Use, the Opioid Epidemic and the Child Welfare Caseloads: Methodological Details from a Mixed Methods Study

This brief describes the research methods used to produce the findings in Substance Use, the Opioid Epidemic, and Child Welfare Caseloads: A Mixed Methods Study. It is a part of a series of briefs that discuss different aspects and issues surrounding the relationship between substance use disorders and the child welfare system.

Predictive Analytics in Child Welfare: Considerations in Contracting Vendors for Predictive Analytics

An increasing number of child welfare agencies are considering using predictive analytics in their work. Typically they do so by contracting with a vendor to develop and maintain a predictive analytics model that is used by the agency to predict risk of a specified outcome.

Substance Use, the Opioid Epidemic and the Child Welfare System: Key Findings from a Mixed Methods Study

This study examined the relationship between parental substance misuse and child welfare caseloads, which began rising in 2012 after more than a decade of decline.

Predictive Analytics in Child Welfare: An Introduction for Administrators and Policy Makers

This document introduces child welfare administrators and policy makers to the benefits and challenges faced in using predictive analytics to improve child welfare practice.

Predictive Analytics in Child Welfare: An Assessment of Current Efforts, Challenges and Opportunities

Child welfare agencies are interested in leveraging new and emerging techniques to help them harness data and technology to make dramatic improvements to child welfare practice and ultimately produce better outcomes for children and families.
White Paper

Strategies for Measuring the Quality of Psychotherapy: A White Paper to Inform Measure Development and Implementation

Strategies for Measuring the Quality of Psychotherapy: A White Paper to Inform Measure Development and Implementation Executive Summary May 15, 2014 Jonathan Brown, Sarah Hudson Scholle and Melissa Azur M

Evaluation Planning and Tools for Front of Package Nutrition Labeling. Final Report

Front-of-package (FOP) nutrition labeling systems are tools that can help consumers choose healthy diets consistent with the Dietary Guidelines for Americans. It is expected that consumers’ use of nutrition information when making food purchasing decisions will improve their dietary choices and result in their reduced risk of obesity and chronic diseases.

Health Insurance in 1994 from the Current Population Survey: Measurement Difficulties

  ASPE Research Notes INFORMATION FOR DECISION MAKERS FOCUS ON: Health Insurance Issued November 1996 Health Insurance in 1994 from the Current Populati
Literature Review

The Systematic Review: An Innovative Approach to Reviewing Research

Standard research literature reviews are the usual means of summing up and interpreting the accumulated findings of research studies in a given research field. Review results generally serve as the best guide for further research.