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Peer reviewedHsu, Louis M. – Educational Researcher, 1980
Criticizes an article in which S. A. Cohen and J. S. Hyman describe as "suspicious" the high proportion of statistically significant findings reported in published educational research journals and offers alternative explanations for the high statistical power reported. (GC)
Descriptors: Educational Research, Periodicals, Research Methodology, Sampling
Peer reviewedKatz, Barry M. – Journal of Educational Statistics, 1978
This paper surveys available techniques and introduces an explicit statement of a new statistic to test for equality of correlated proportions in a polychotomous response design. A set of guidelines for the potential user of the techniques is provided. (Author/CTM)
Descriptors: Classification, Hypothesis Testing, Research Design, Sampling
Peer reviewedStamm, Carol Lee – Journal of Educational Statistics, 1978
A study was conducted using generated data sets that contained specified amounts of error to determine empirically which of two large sample approximations for the coefficient of concordance or weighted average tau was more appropriate for various numbers of judges and numbers of objects. (CTM)
Descriptors: Correlation, Nonparametric Statistics, Sampling, Statistical Significance
Peer reviewedRothrock, Julia E.; Michael, William B. – Educational and Psychological Measurement, 1976
Tests constructed through item-sampling (where several tests are constructed and randomly assigned to testees) were compared to a traditional constant-item procedure for evaluating student and class progress in a community college freshman psychology class. The item-sampling approach did not appear to be superior. (JKS)
Descriptors: Evaluation Methods, Item Sampling, Measurement Techniques, Test Validity
Peer reviewedForester, Donald Lee; Michael, William B. – Educational and Psychological Measurement, 1976
Tests constructed through item-sampling (where several tests are constructed and randomly assigned to testees) were compared to a traditional constant-item procedure for evaluating class progress in a community college intermediate algebra class. The item-sampling format appeared to be slightly less valid than the traditional format. (JKS)
Descriptors: Evaluation Methods, Item Sampling, Measurement Techniques, Test Validity
Peer reviewedBarchard, Kimberly A.; Hakstian, A. Ralph – Multivariate Behavioral Research, 1997
Two studies, both using Type 12 sampling, are presented in which the effects of violating the assumption of essential parallelism in setting confidence intervals are studied. Results indicate that as long as data manifest properties of essential parallelism, the two methods studied maintain precise Type I error control. (SLD)
Descriptors: Error of Measurement, Robustness (Statistics), Sampling, Statistical Analysis
Peer reviewedBarchard, Kimberly A.; Hakstian, A. Ralph – Educational and Psychological Measurement, 1997
The distinction between Type 1 and Type 12 sampling in connection with measurement data is discussed, and a method is presented for simulating data arising from Type 12 sampling. A Monte Carlo study is described that shows conditions under which precise confidence level control under Type 12 sampling is maintained. (SLD)
Descriptors: Models, Monte Carlo Methods, Sampling, Simulation
Peer reviewedCholdin, Harvey M. – Society, 1997
Examines the undercount problem in the 1990 census, the ways in which the Census Bureau has dealt with it in the past, and the Bureau's plans to avoid future undercounts. It also discusses the statistical concept of dual systems estimation in census counting as a means of lessening an undercount. (GR)
Descriptors: Census Figures, Computation, Sampling, Statistical Bias
Peer reviewedLee, Guemin; Fitzpatrick, Anne R. – Journal of Educational Measurement, 2003
Studied three procedures for estimating the standard errors of school passing rates using a generalizability theory model and considered the effects of student sample size. Results show that procedures differ in terms of assumptions about the populations from which students were sampled, and student sample size was found to have a large effect on…
Descriptors: Error of Measurement, Estimation (Mathematics), Generalizability Theory, Sampling
Peer reviewedLawrence, Ida M.; Dorans, Neil J. – Applied Measurement in Education, 1990
The sample invariant properties of five anchor test equating methods are addressed. Equating results across two sampling conditions--representative sampling and new-form matched sampling--are compared for Tucker and Levine equally reliable linear equating, item response theory true-score equating, and two equipercentile methods. (SLD)
Descriptors: Equated Scores, Item Response Theory, Sampling, Statistical Analysis
Peer reviewedAlsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 1994
An approximate statistical test of the equality of two intraclass reliability coefficients based on the same sample of people is derived. Such a test is needed when a researcher wishes to compare the reliability of two measurement procedures, and both procedures can be applied to results from the same group. (SLD)
Descriptors: Comparative Analysis, Measurement Techniques, Reliability, Sampling
Peer reviewedAtlas, Robert S.; Overall, John E. – Psychometrika, 1994
A split-sample replication stopping rule for hierarchical cluster analysis is compared with the internal criterion previously found superior by Milligan and Cooper (1985) in their comparison of 30 different procedures. Situations under which the methods are equivalent or not equally useful are discussed. (SLD)
Descriptors: Comparative Analysis, Population Distribution, Research Methodology, Sampling
Peer reviewedScheines, Richard; Hoijtink, Herbert; Boomsma, Anne – Psychometrika, 1999
Explains how the Gibbs sampler can be applied to obtain a sample from the posterior distribution over the parameters of a structural equation model. Presents statistics to use to summarize marginal posterior densities and model checks using posterior predictive p-values. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Sampling, Structural Equation Models
Peer reviewedBaker, Frank B. – Applied Psychological Measurement, 1998
Investigated the item-parameter recovery characteristics of a Gibbs sampling method (J. Albert, 1992) for item-response theory item-parameter estimation and compared them to those from the BILOG computer program. Item-parameter recoveries were similar for both approaches for larger data sets, but overall, BILOG performance was superior. (SLD)
Descriptors: Estimation (Mathematics), Item Response Theory, Markov Processes, Sampling
Peer reviewedJanes, Joseph – Library Hi Tech, 2000
Continues a series on topics in research methodology, statistics, and data analysis techniques for the library and information sciences. Focuses on the basics of sampling for surveys or experimental work, including rationale, terminology, technique, alternative methods, and sample size. (Author/LRW)
Descriptors: Library Research, Research Methodology, Sample Size, Sampling


