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Robertson, Gary J.; Mitchell, Blythe C. – School and Society, 1971
Descriptors: Age Grade Placement, Educational Change, Instructional Program Divisions, Statistical Studies
Ringness, Thomas A. – J Educ Psychol, 1970
Descriptors: Achievement Tests, Junior High School Students, Learning Theories, Psychological Testing
Furukawa, James M. – J Educ Psychol, 1970
Descriptors: Learning Processes, Programed Instruction, Retention (Psychology), Statistical Studies
Peer reviewed Peer reviewed
Macready, George B. – Psychometrika, 1982
A strategy for the pairwise assessment which may be used to evaluate the nature of both "prerequisite" and "transference" relations existing among a set of traits is presented. Both confirmatory and exploratory strategies are presented. An example of how the strategy would be used is presented in the exploratory context.…
Descriptors: Correlation, Data Analysis, Item Analysis, Latent Trait Theory
Peer reviewed Peer reviewed
Good, Ron – Journal of Research in Science Teaching, 1983
Focuses on Binomial Effect Size Display (a concept helpful in interpreting size of an experimental effect). Suggests that both statistical significance and explained variance be reported in experimental research and that values for the latter concepts can be viewed with a more accurate perspective by using BESD. (Author/JN)
Descriptors: Analysis of Variance, Correlation, Science Education, Statistical Analysis
Peer reviewed Peer reviewed
Stavig, Gordon R. – Perceptual and Motor Skills, 1982
The normalized mean is developed and discussed as a descriptive measure of central location. The advantages of the normalized mean over the arithmetic mean, median, and trimmed mean are discussed. (Author)
Descriptors: Mathematical Formulas, Research Problems, Scores, Statistical Analysis
Peer reviewed Peer reviewed
Cohen, Jacob – American Psychologist, 1990
Discusses several pitfalls in applying statistics to psychology and other sociobiomedical sciences. Concludes that the informed judgment of the investigator is the crucial element in the interpretation of data. (EVL)
Descriptors: Research Methodology, Social Science Research, Statistical Analysis, Statistical Bias
Peer reviewed Peer reviewed
Ichikawa, Masanori; Konishi, Sadanori – Psychometrika, 1995
A Monte Carlo experiment was conducted to investigate the performance of bootstrap methods in normal theory maximum likelihood factor analysis when the distributional assumption was satisfied or unsatisfied. Problems arising with the use of bootstrap methods are highlighted. (SLD)
Descriptors: Factor Analysis, Maximum Likelihood Statistics, Monte Carlo Methods, Statistical Distributions
Peer reviewed Peer reviewed
Cox, Myron K.; Key, Coretta H. – Educational and Psychological Measurement, 1993
A model is presented for multiple pairwise comparisons of selected categories (cells) of a contingency table after the chi-square test has rejected the null hypothesis of equality of population proportions. The model determines which, if any, pairwise proportions have led to the rejection. (SLD)
Descriptors: Chi Square, Classification, Comparative Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Sivo, Stephen A.; Willson, Victor L. – Journal of Experimental Education, 1998
Critiques H. W. Marsh and K.-T. Hau's (1996) assertion that parsimony is not always desirable when assessing model-fit on a particular counterexample drawn from Marsh's previous research. This counterexample is neither general nor valid enough to support such a thesis and it signals an oversight of extant, stochastic models justifying correlated…
Descriptors: Correlation, Error of Measurement, Goodness of Fit, Statistical Studies
Peer reviewed Peer reviewed
Hoyle, Rick H. – Journal of Experimental Education, 1998
In response to H. W. Marsh and K.-T. Hau's (1996) article on the potential for inferential errors when parsimony is rewarded in the evaluation of overall fit of structural equation models, a design-sensitive adjustment to the standard parsimony ratio is proposed. This ratio renders a more reasonable upper bound than does the standard parsimony…
Descriptors: Correlation, Error of Measurement, Goodness of Fit, Statistical Studies
National Foundation for Educational Research, 2007
Statistical neighbour models provide one method for benchmarking progress. For each local authority (LA), these models designate a number of other LAs deemed to have similar characteristics. These designated LAs are known as statistical neighbours. Any LA may compare its performance (as measured by various indicators) against its statistical…
Descriptors: Benchmarking, Evaluation Methods, Evaluation Research, Research Tools
Peer reviewed Peer reviewed
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Delucchi, Michael – Teaching in Higher Education, 2007
College teachers in the sciences and professional studies have endorsed collaborative learning group strategies for teaching undergraduate statistics courses, but few researchers provide empirical evidence that students' quantitative skills actually increase as a result of the collaborative experience. Assessment of the efficacy of collaborative…
Descriptors: Statistics, Cooperative Learning, Grouping (Instructional Purposes), Instructional Effectiveness
Peer reviewed Peer reviewed
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Temple, Judy A.; Reynolds, Arthur J. – Economics of Education Review, 2007
We discuss the evidence on the effectiveness of preschool programs using results from three well-known intervention studies: the Chicago Child-Parent Centers, High/Scope Perry Preschool Program, and the Carolina Abecedarian Project. Results from cost-benefit analyses of other programs for younger and older children also are reported. Given that…
Descriptors: Cost Effectiveness, Elementary Secondary Education, Grade Repetition, Intervention
Hutchinson, Susan R. – 1994
The work of R. MacCallum et al. (1992) was extended by examining chance modifications through a Monte Carlo simulation. The stability of post hoc model modifications was examined under varying sample size, model complexity, and severity of misspecification using 2- and 4-factor oblique confirmatory factor analysis (CFA) models with four and eight…
Descriptors: Computer Simulation, Models, Monte Carlo Methods, Reliability
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