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Kim, Hyung Jin; Brennan, Robert L.; Lee, Won-Chan – Journal of Educational Measurement, 2020
In equating, smoothing techniques are frequently used to diminish sampling error. There are typically two types of smoothing: presmoothing and postsmoothing. For polynomial log-linear presmoothing, an optimum smoothing degree can be determined statistically based on the Akaike information criterion or Chi-square difference criterion. For…
Descriptors: Equated Scores, Sampling, Error of Measurement, Statistical Analysis
Albano, Anthony D. – Journal of Educational Measurement, 2015
Research on equating with small samples has shown that methods with stronger assumptions and fewer statistical estimates can lead to decreased error in the estimated equating function. This article introduces a new approach to linear observed-score equating, one which provides flexible control over how form difficulty is assumed versus estimated…
Descriptors: Equated Scores, Sample Size, Sampling, Statistical Inference

Sirotnik, Kenneth; Wellington, Roger – Journal of Educational Measurement, 1977
A single conceptual and theoretical framework for sampling any configuration of data from one or more population matrices is presented, integrating past designs and discussing implications for more general designs. The theory is based upon a generalization of the generalized symmetric mean approach for single matrix samples. (Author/CTM)
Descriptors: Analysis of Variance, Data Analysis, Item Sampling, Mathematical Models

Sabers, Darrell L.; Klausmeier, Richard D. – Journal of Educational Measurement, 1971
Descriptors: Measurement Techniques, Raw Scores, Sampling, Statistical Analysis

Shoemaker, David M. – Journal of Educational Measurement, 1971
Results indicate that scale values can be approximated satisfactorily through item-examinee sampling. Defining one observation as the response made by one examinee to one item, the similarity between the estimated scale values and normative scale values increased generally with increases in the number of observations acquired by the sampling plan.…
Descriptors: Attitudes, Item Sampling, Norms, Statistical Analysis
Further Results on the Standard Errors of Estimate Associated with Item-Examinee Sampling Procedures

Shoemaker, David M. – Journal of Educational Measurement, 1971
Descriptors: Difficulty Level, Item Sampling, Statistical Analysis, Test Construction

Callender, John C.; Osburn, H. G. – Journal of Educational Measurement, 1979
Some procedures for estimating internal consistency reliability may be superior mathematically to the more commonly used methods such as Coefficient Alpha. One problem is computational difficulty; the other is the possibility of overestimation due to capitalization on chance. (Author/CTM)
Descriptors: Higher Education, Mathematical Formulas, Research Problems, Sampling

D'Agostino, Ralph B. – Journal of Educational Measurement, 1971
Relations between standard statistical techniques for analyzing dichotomous data and ANOVA procedures are indicated. The need for usefulness of analyzing transformed data as opposed to direct analysis of dichotomous data are discussed. Required statistical procedures employing transformed data are outlined. (Author/AG)
Descriptors: Analysis of Variance, Data Analysis, Interaction, Sampling

Norcini, John J.; And Others – Journal of Educational Measurement, 1988
Multiple matrix sampling is applied to a variation of Angoff's standard setting method. Thirty-six experts (internists) and 190 items were divided into five groups, and borderline examinee performance was estimated. There was some variability in the cutting scores produced by the individual groups, but various components were well estimated. (SLD)
Descriptors: Cutting Scores, Minimum Competency Testing, Physicians, Sampling

Shoemaker, David M. – Journal of Educational Measurement, 1973
Investigated empirically through post mortem item-examinee samplings were the relative merits of two alternative procedures for allocating items to subtests in multiple matrix sampling and the feasibility of using the jackknife in approximating standard errors of estimate. (Editor)
Descriptors: Databases, Error of Measurement, Item Sampling, Research Design

Angoff, William H.; Ford, Susan F. – Journal of Educational Measurement, 1973
Several samples of black and white students were drawn from the 1970 PSAT administration in Georgia and studies for item x race interaction on both the verbal and mathematical sections of the test. (Authors)
Descriptors: Aptitude Tests, Interaction, Item Analysis, Performance Factors

Feldt, Leonard S. – Journal of Educational Measurement, 1973
This paper provides a guide to the minimum size of treatment groups, inferred from the relationships between pupil norms and norms for class averages of standardized achievement tests. (Editor)
Descriptors: Class Average, Correlation, Educational Experiments, Group Norms

Bunda, Mary Anne – Journal of Educational Measurement, 1973
Procedures to be applicable in situations in which large numbers of individuals are tested or in situations where multiple measures are taken. (Author/CB)
Descriptors: Data Collection, Group Norms, Individual Testing, Item Sampling

Levin, Joel R. – Journal of Educational Measurement, 1975
A set procedure developed in this study is useful in determining sample size, based on specification of linear contrasts involving certain formula treatments. (Author/DEP)
Descriptors: Analysis of Variance, Comparative Analysis, Mathematical Models, Measurement Techniques

Flynn, James R. – Journal of Educational Measurement, 1984
Thorndike's Stanford-Binet data suggest that from 1932 to 1971-72 preschool children enjoyed greater IQ gains than older children, possibly due to the rise of television. Additional analysis indicated that gains were either due to sampling error or totally antedated 1947. Gains of 12 IQ points were found for Americans. (Author/EGS)
Descriptors: Achievement Gains, Age Differences, Intelligence Differences, Intelligence Quotient