Building the Knowledge Base for Improving Educational and Social Programs through Planned Variation Evaluations

Dados Bibliográficos

ID12470637
AutoresStuart S Yeh (0000-0001-5111-134X, Harvard University, 92 Bullough Park, Newton, MA 02460, autor correspondente)
Ano2000
Volume21
Fascículo1
Páginas27-40
Data de publicação2000-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAmerican Journal of Evaluation (JOURNAL)
Identificadores do periódicoISSN: 1098-2140 • E-ISSN: 1557-0878
EditoraSAGE Publishing (PUBLISHER • US)
DOI10.1177/109821400002100103
OpenAlexW4256699543
IdiomaEN
Citações recebidas2
Referências citadas12

In this paper I argue that research, development, and evaluation of social and educational programs should routinely be integrated through a planned variation approach. This approach typically involves the design, implementation, and evaluation of an enhanced, as well as standard, variation of a program. In contrast to conventional black box evaluations, I argue that a planned variation approach is better suited to the needs of program operators, offers methodological advantages, tests program theory, helps to build the base of knowledge for constructing better programs, and would foster greater utilization of evaluation findings. I discuss implications regarding the role and preparation of evaluators and issues in conducting planned variation evaluations. I compare the planned variation approach to other types of theory-based evaluation and discuss when and why it may be preferable

Control (management · Knowledge base · Management science · Program evaluation · Statistics · Theory of planned behavior · Variation (astronomy · Community Health and Development · Computer Science · Educational Assessment and Improvement · Evaluation and Performance Assessment · Artificial Intelligence