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Skaggs, Gary; Wilkins, Jesse L. M.; Hein, Serge F. – International Journal of Testing, 2016
The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Science Achievement
Stiefel, Leanna; Berne, Robert – 1981
In assessing educational equity among school districts, according to the authors, researchers should control for differences across districts in the prices of educational inputs. This paper tests a suggested index for one educational input, teacher salaries. The suggested teacher-salary index, based on a supply-and-demand model using 12 demand and…
Descriptors: Cost Indexes, Elementary Secondary Education, Mathematical Models, Predictor Variables
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Blair, R. Clifford; Higgins, J. J. – Florida Journal of Educational Research, 1984
R. V. Hopkins (1982) has criticized the use of means as the unit of analysis in situations where intact groups, such as classes, rather than individuals have been randomly assigned to various treatment conditions. Instead, Hopkins advocated the use of certain analysis of variance (ANOVA) models that, as far as test for treatment effects are…
Descriptors: Analysis of Variance, Classrooms, Comparative Analysis, Elementary Secondary Education
Smith, Wray; Ghosh, Dhiren; Chang, Michael – 1997
This technical report provides an updated assessment of the problem of optimizing the periodicity of the Schools and Staffing Survey (SASS). Making use of data from three rounds of SASS data collection (for school years 1987-88, 1990-91, and 1993-94), the report extends and updates the preliminary findings and interim assessments that were…
Descriptors: Costs, Data Collection, Elementary Secondary Education, Mathematical Models
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Johnson, Eugene G.; Rust, Keith F. – Journal of Educational Statistics, 1992
The use of sampling weights in deriving population estimates for the National Assessment of Educational Progress (NAEP) and the effects of nonresponse and undercoverage on those estimates are described. The estimation of sampling variability from complex sample surveys is also reviewed, concentrating on the jackknife repeated replication…
Descriptors: Educational Assessment, Elementary Secondary Education, Estimation (Mathematics), Mathematical Models
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Johnson, Eugene G. – Journal of Educational Statistics, 1989
The effects of certain characteristics (e.g., sample design) of National Assessment of Educational Progress (NAEP) data on statistical analysis techniques are considered. Ignoring special features of NAEP data and proceeding with a standard analysis can produce inferences that underestimate the true variability and overestimate the true degrees of…
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Forster, Fred; And Others – 1978
Research on the Rasch model of test and item analysis was applied to tests constructed from item banks for reading and mathematics with respect to five practical problems for scaling items and equating test forms. The questions were: (1) Does the Rasch model yield the same scale value regardless of the student sample? (2) How many students are…
Descriptors: Achievement Tests, Difficulty Level, Elementary Secondary Education, Equated Scores
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Willms, J. Douglas; Raudenbush, Stephen W. – Journal of Educational Measurement, 1989
A general longitudinal model is presented for estimating school effects and their stability. The model, capable of separating true changes from sampling and measurement error, controls statistically for effects of factors exogenous to the school system. The model is illustrated with data from large cohorts of students in Scotland. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Hill, Richard – 1997
In the Spring, 1996, issue of "CRESST Line," E. Baker and R. Linn commented that, in efforts to measure the progress of schools, "the fluctuations due to differences in the students themselves could conceal differences in instructional effects." This is particularly true in the context of the evaluation of adequate yearly…
Descriptors: Academic Achievement, Compensatory Education, Disadvantaged Youth, Educational Improvement
Pandey, Tej N. – 1978
The concept under investigation was the reliability of estimates of mean scores of groups under various assumptions of multiple-matrix sampling when reliabilities are computed according to procedures based on generalizability theory. Four different cases were compared with respect to the generalizability coefficients depending upon whether pupils…
Descriptors: Achievement Tests, Analysis of Variance, Basic Skills, Elementary Secondary Education
Synectics for Management Decisions, Inc., Arlington, VA. – 1994
The 1987-88 Schools and Staffing Survey (SASS) looked at a national sample of elementary and secondary public and private schools. Components of the SASS, a data collection effort of the National Center for Education Statistics, were surveys of teacher demand and shortage, schools, administrators, and teachers. Approximately 13,000 schools and…
Descriptors: Educational Administration, Elementary Secondary Education, Error of Measurement, Estimation (Mathematics)
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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)
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Reuterberg, Sven-Eric – Scandinavian Journal of Educational Research, 1985
To reduce problems in comparing gains in the rate of students who progress to the next level of education, a nonlinear transformation is recommended. Two such transformations, probits and logits, are presented. Log linear models are recommended for an appropriate statistical test of sampling error. (Author/GDC)
Descriptors: Educational Attainment, Elementary Secondary Education, Enrollment Influences, Enrollment Projections
Peaker, Gilbert F. – 1975
This is one of nine volumes describing the results of extensive research carried out by the International Association for the Evaluation of Educational Achievement (IEA) over a seven-year period. The overall aim of this extensive empirical study is to relate student competence to instructional, economic, and social factors which account for…
Descriptors: Academic Achievement, Civics, Comparative Education, Cross Cultural Studies
Witt, Elizabeth A. – 1993
Two previous meta-analyses of the test-coaching literature have yielded conclusions that differ with respect to aptitude test scores. This study attempts to resolve differences in the conclusions of these two analyses by J. A. Kulik, R. L. Bangert-Drowns, and C. L. C. Kulik (1984) and K. Pearlman (1984) by using the methods of F. L. Schmidt and J.…
Descriptors: Aptitude Tests, College Entrance Examinations, Comparative Analysis, Elementary Secondary Education
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