Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 10 |
Descriptor
Source
Author
| Barth, Richard P. | 1 |
| Beckman, Mary | 1 |
| Bello-Gomez, Ricardo A. | 1 |
| Bickman, Leonard | 1 |
| Burnett, Michael | 1 |
| Cockburn, Bethany | 1 |
| Davidson, E. Jane | 1 |
| Deke, John | 1 |
| Dwyer, James H. | 1 |
| Eagles, Munroe | 1 |
| Ertesvåg, Sigrun K. | 1 |
| More ▼ | |
Publication Type
| Reports - Descriptive | 17 |
| Journal Articles | 15 |
| Information Analyses | 1 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Elementary Secondary Education | 1 |
| Postsecondary Education | 1 |
Audience
| Researchers | 1 |
Location
| Indiana | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kylie Anglin; Qing Liu; Vivian C. Wong – Asia Pacific Education Review, 2024
Given decision-makers often prioritize causal research that identifies the impact of treatments on the people they serve, a key question in education research is, "Does it work?". Today, however, researchers are paying increasing attention to successive questions that are equally important from a practical standpoint--not only does it…
Descriptors: Educational Research, Program Evaluation, Validity, Classification
Reichardt, Charles S. – American Journal of Evaluation, 2022
Evaluators are often called upon to assess the effects of programs. To assess a program effect, evaluators need a clear understanding of how a program effect is defined. Arguably, the most widely used definition of a program effect is the counterfactual one. According to the counterfactual definition, a program effect is the difference between…
Descriptors: Program Evaluation, Definitions, Causal Models, Evaluation Methods
Kraft, Matthew A. – Educational Researcher, 2020
Researchers commonly interpret effect sizes by applying benchmarks proposed by Jacob Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability.…
Descriptors: Effect Size, Benchmarking, Educational Research, Intervention
Wing, Coady; Bello-Gomez, Ricardo A. – American Journal of Evaluation, 2018
Treatment effect estimates from a "regression discontinuity design" (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research. The disconnect between RDD population and the…
Descriptors: Regression (Statistics), Research Design, Validity, Evaluation Methods
Pitas, Nicholas; Murray, Alison; Olsen, Max; Graefe, Alan – Journal of Extension, 2017
This article describes a modified importance-performance framework for use in evaluation of recreation-based experiential learning programs. Importance-performance analysis (IPA) provides an effective and readily applicable means of evaluating many programs, but the near universal satisfaction associated with recreation inhibits the use of IPA in…
Descriptors: Experiential Learning, Recreational Programs, Program Evaluation, Statistical Analysis
Ertesvåg, Sigrun K. – Journal of Educational Change, 2015
Bullying is one of the most challenging issues facing students and schools worldwide. The disastrous consequences for victims and offenders are experienced daily by teachers and students and documented by numerous studies. The demand for evidence-based practice (EBP) in schools' anti-bullying work has increased in the last decade, consequently…
Descriptors: Bullying, Prevention, Program Improvement, Research Needs
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Beckman, Mary; Penney, Naomi; Cockburn, Bethany – Journal of Higher Education Outreach and Engagement, 2011
Community-based research (CBR) is an increasingly familiar approach to addressing social challenges. Nonetheless, the role it plays in attaining community impact is unclear and largely unstudied. Here the authors discuss an emerging framework aimed toward fostering community impact through university and community civic engagement. They describe…
Descriptors: Higher Education, School Community Relationship, Service Learning, Role
Peer reviewedBickman, Leonard – New Directions for Evaluation, 2000
Summarizes interesting aspects of the preceding chapters and the issues and concerns raised related to program theory evaluation. Suggests that evaluators may be fighting a losing battle in their efforts to shore up weak programs through the introduction of program theory evaluation, asserting that the development of strong program theory should…
Descriptors: Causal Models, Evaluation Methods, Program Evaluation
Peer reviewedDavidson, E. Jane – New Directions for Evaluation, 2000
Explores the relative strengths and weaknesses of program theory as a tool for inferring causality and outlines a five-stage approach that makes increased use of inductively built program theories as it takes more deliberate account of the varying levels of certainty that are required for evaluative conclusions. (Author/SLD)
Descriptors: Causal Models, Evaluation Methods, Program Evaluation, Theories
Peer reviewedRogers, Patricia J. – New Directions for Evaluation, 2000
Discusses the role that causal models play in program theory evaluation. Considers several types of causal relationships and discusses three causal models derived from systems theory, the theories of virtuous or vicious cycles, symptomatic solutions, and feedback delays. (SLD)
Descriptors: Causal Models, Evaluation Methods, Feedback, Program Evaluation
Propensity Score Matching Strategies for Evaluating the Success of Child and Family Service Programs
Barth, Richard P.; Guo, Shenyang; McCrae, Julie S. – Research on Social Work Practice, 2008
This article presents propensity score matching as a method to implement randomized conditions to analyze service effects using nonexperimental data. Most social work research is challenged to implement randomized clinical trials, whereas administrative and survey data are often available and can provide valuable information about services…
Descriptors: Research Methodology, Social Work, Scores, Evaluation Methods
Verma, Satish; Burnett, Michael – 1999
Program directors and evaluators need to address the important program accountability question of attribution of outcomes. This discussion is a beginning. Starting with some basics, such as the meaning of the program, approaches to program theory development, and the nature of attribution, the paper suggests three types of attribution. An…
Descriptors: Accountability, Causal Models, Evaluation Methods, Program Development
Stuart, Elizabeth A. – Educational Researcher, 2007
Education researchers, practitioners, and policymakers alike are committed to identifying interventions that teach students more effectively. Increased emphasis on evaluation and accountability has increased desire for sound evaluations of these interventions; and at the same time, school-level data have become increasingly available. This article…
Descriptors: Research Methodology, Computation, Causal Models, Intervention
Peer reviewedMacKinnon, David P.; Dwyer, James H. – Evaluation Review, 1993
Statistical approaches to assess how prevention and intervention programs achieve their effects are described and illustrated through the evaluation of a health promotion program to reduce dietary cholesterol and a school-based drug prevention program. Analyses require the measurement of intervening or mediating variables to represent the…
Descriptors: Causal Models, Disease Control, Drug Use, Equations (Mathematics)
Previous Page | Next Page »
Pages: 1 | 2
Direct link
