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Qian, Jiahe – ETS Research Report Series, 2017
The variance formula derived for a two-stage sampling design without replacement employs the joint inclusion probabilities in the first-stage selection of clusters. One of the difficulties encountered in data analysis is the lack of information about such joint inclusion probabilities. One way to solve this issue is by applying Hájek's…
Descriptors: Mathematical Formulas, Computation, Sampling, Research Design
Wong, Manyee; Cook, Thomas D.; Steiner, Peter M. – Journal of Research on Educational Effectiveness, 2015
Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs. An ITS design with a single treatment group assumes that the pretest functional form can be validly estimated and extrapolated into the postintervention period where it provides a valid counterfactual. This assumption is problematic. Ambiguous…
Descriptors: Evaluation Methods, Time, Federal Legislation, Educational Legislation
Kenney, Patricia Ann; Silver, Edward A. – 1999
This paper presents an overview of the design features that were developed for the Content Analysis Project. The purpose of the project was to examine the congruence between a state's test in eighth-grade mathematics and that used by the National Assessment of Educational Progress. The results of this analysis were then to be used to determine…
Descriptors: Comparative Analysis, Content Analysis, Grade 8, Junior High Schools
Jones, Calvin C. – 1986
The National Assessment of Educational Progress (NAEP) is compared to the two studies of the National Educational Longitudinal Studies (NELS) Program--the National Longitudinal Study of the Class of 1972 (resurveyed in 1973, 1974, 1976, and 1979) and the 1980 High School and Beyond study (partially resurveyed and retested in 1982). The third phase…
Descriptors: Agency Cooperation, Comparative Analysis, Computer Assisted Testing, Data Collection