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Dong, Nianbo – American Journal of Evaluation, 2015
Researchers have become increasingly interested in programs' main and interaction effects of two variables (A and B, e.g., two treatment variables or one treatment variable and one moderator) on outcomes. A challenge for estimating main and interaction effects is to eliminate selection bias across A-by-B groups. I introduce Rubin's causal model to…
Descriptors: Probability, Statistical Analysis, Research Design, Causal Models
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Han, Bing; Dalal, Siddhartha R.; McCaffrey, Daniel F. – Journal of Educational and Behavioral Statistics, 2012
There is widespread interest in using various statistical inference tools as a part of the evaluations for individual teachers and schools. Evaluation systems typically involve classifying hundreds or even thousands of teachers or schools according to their estimated performance. Many current evaluations are largely based on individual estimates…
Descriptors: Statistical Inference, Error of Measurement, Classification, Statistical Analysis
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Betebenner, Damian W.; Shang, Yi; Xiang, Yun; Zhao, Yan; Yue, Xiaohui – Journal of Educational Measurement, 2008
No Child Left Behind (NCLB) performance mandates, embedded within state accountability systems, focus school AYP (adequate yearly progress) compliance squarely on the percentage of students at or above proficient. The singular importance of this quantity for decision-making purposes has initiated extensive research into percent proficient as a…
Descriptors: Classification, Error of Measurement, Statistics, Reliability
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Gundersen, Craig; Kreider, Brent – Journal of Human Resources, 2008
Policymakers have been puzzled to observe that food stamp households appear more likely to be food insecure than observationally similar eligible nonparticipating households. We reexamine this issue allowing for nonclassical reporting errors in food stamp participation and food insecurity. Extending the literature on partially identified…
Descriptors: Security (Psychology), Poverty, Family (Sociological Unit), Measurement Techniques
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Mulvenon, Sean W.; Stegman, Charles E. – Journal of Educational Research & Policy Studies, 2006
As part of No Child Left Behind (NCLB) legislation, many states are using confidence intervals to determine a range of scores for evaluating a school system. More specifically, the states are employing confidence intervals to help minimize measurement error in determining a school system's performance. The methodology and techniques employed in…
Descriptors: Federal Legislation, Computation, Intervals, Error of Measurement
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Press, S. James; Tanur, Judith M. – Evaluation Review, 1991
Relevance of the intersection of sociology, statistics, and public policy to the study of quality control in three family assistance programs--food stamps, Aid to Families with Dependent Children (AFDC), and Medicaid--is reviewed using a study by the National Academy of Sciences of methods for improving quality control systems. (SLD)
Descriptors: Error of Measurement, Estimation (Mathematics), Federal Aid, Federal Programs