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Journal of Educational… | 10 |
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Coulson, John E. | 2 |
Beaton, Albert E. | 1 |
Bryk, Judith F. | 1 |
Cromer, Fred E. | 1 |
Feshbach, Seymour | 1 |
Johnson, Eugene G. | 1 |
Ramsey, Philip H. | 1 |
Rogosa, David | 1 |
Rust, Keith F. | 1 |
Weinberg, Meyer | 1 |
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Emergency School Aid Act 1972 | 6 |
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Bryk, Judith F.; And Others – Journal of Educational Statistics, 1980
A statistical analysis procedure is developed, based on the notion that many educational programs are dynamic interventions in natural growth processes, and is called value-added analysis. The theory of value-added analysis, and several applications are presented. (Author/JKS)
Descriptors: Data Analysis, Evaluation Methods, Mathematical Models, Multiple Regression Analysis

Weisberg, Herbert I. – Journal of Educational Statistics, 1978
A re-analysis of evaluation data concerning the Emergency School Aid Act shows that findings of the original evaluators are open to multiple interpretations. (JKS)
Descriptors: Compensatory Education, Data Analysis, Elementary Education, Evaluation Methods

Rogosa, David – Journal of Educational Statistics, 1978
Commentary is presented on the evaluation of the Emergency School Aid Act and a review of that evaluation (TM 503 672). The commentary focuses on philosophical issues and the uses of several levels of observation in data analysis. (JKS)
Descriptors: Compensatory Education, Data Analysis, Elementary Education, Evaluation Methods

Feshbach, Seymour – Journal of Educational Statistics, 1978
The nature of experimental designs in the evaluation of educational programs is addressed in this commentary on the evaluation of the Emergency School Aid Act and a paper detailing that evaluation (TM 503 672). (JKS)
Descriptors: Compensatory Education, Data Analysis, Educational Experiments, Elementary Education

Coulson, John E.; Cromer, Fred E. – Journal of Educational Statistics, 1978
The evaluators of the Emergency School Aid Act respond to commentaries on their evaluation of the act and their article detailing that evaluation (TM 503 672). Each commentary is discussed. (See TM 503 673 through 678). (JKS)
Descriptors: Compensatory Education, Data Analysis, Elementary Secondary Education, Evaluation Criteria

Weinberg, Meyer – Journal of Educational Statistics, 1978
The financial aspects of educational programs are discussed in this commentary on the evaluation of the Emergency School Aid Act. Budget and expenditure data must be examined closely when evaluating educational programs. (JKS)
Descriptors: Compensatory Education, Data Analysis, Educational Finance, Elementary Education

Ramsey, Philip H. – Journal of Educational Statistics, 1982
Monte Carlo results were used to evaluate procedures for discriminating between groups. A multiple testing version of Hotelling's T-squared and the Bonferroni procedure were most powerful for detecting at least one true difference, depending on conditions examined. A multiple Bonferroni procedure was superior in power for detecting all true…
Descriptors: Data Analysis, Educational Research, Evaluation Methods, Monte Carlo Methods

Coulson, John E. – Journal of Educational Statistics, 1978
Problems encountered in large-scale educational evaluations are discussed using the evaluation of the Emergency School Aid Act as an example. This extensive article focuses primarily on methodological issues. (JKS)
Descriptors: Compensatory Education, Data Analysis, Educationally Disadvantaged, Elementary Secondary Education

Beaton, Albert E.; Zwick, Rebecca – Journal of Educational Statistics, 1992
This chapter gives an overview of the design and statistical and psychometric analysis methods of the National Assessment of Educational Progress (NAEP). The evolution of the NAEP continues to provide challenges to statisticians and psychometricians, as demonstrated in the expansion of the NAEP to the assessment of individual states. (SLD)
Descriptors: Data Analysis, Educational Assessment, Educational History, Elementary Secondary Education

Rust, Keith F.; Johnson, Eugene G. – Journal of Educational Statistics, 1992
Procedures for obtaining student samples for the National Assessment of Educational Progress (NAEP) and deriving survey weights for analysis of survey data are described. Sample designs are economically and operationally feasible, and weighting procedures result in increased precision of estimates as they account for the probabilities of student…
Descriptors: Data Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)