A Bayesian Data Analysis System for the Evaluation of Social Programs
作者:
Ming-Mei Wang,
MelvinR. Novick,
GeraldL. Isaacs,
Dan Ozenne,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1977)
卷期:
Volume 72,
issue 360
页码: 711-722
ISSN:0162-1459
年代: 1977
DOI:10.1080/01621459.1977.10479947
出版商: Taylor & Francis Group
关键词: Bayesian simultaneous estimation;m-group means analysis;Multiple comparisons;Criterion-referenced analysis
数据来源: Taylor
摘要:
The evaluation of social programs is typically hampered by serious methodological problems. Adopting the approach of Bayesian simultaneous estimation proposed by Lindley and Smith (1972) and operationally developed by Jackson, Novick, and Thayer (1971), Novick, Lewis, and Jackson (1973), and Lewis, Wang, and Novick (1975), we demonstrate how some of these problems can be avoided or solved. To accomplish this, we extend the operational method to marginalm-group mean analysis for the unbalanced case. Data from the Emergency School Aid Act (ESAA) evaluation are used for illustration. Bayesianm-group analysis techniques are applied to data gathered from 17 school districts to evaluate the effectiveness of each district's compensatory education program.
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