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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

Dziuban, Charles D.; And Others – Educational and Psychological Measurement, 1979
The distributional characteristics of Kaiser's Measure of Sampling Adequacy (MSA) were investigated in sample matrices generated from multivariate normal populations of specified correlation levels. Systematic variation of sample size and number of variables revealed the overall MSA to be most influenced by the number of variables. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Item Sampling, Psychometrics

Rothrock, 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

Forester, 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
Pandey, Tej N.; Hubert, Lawrence J. – 1974
This investigation had two major purposes. The first was to explore the use of an inferential technique called Tukey's Jackknife in establishing a confidence interval about cooefficient alpha reliability. The second purpose was to study the robustness of the Feldt and the jackknife procedures when the data fails to satisfy usual normality…
Descriptors: Comparative Analysis, Item Sampling, Statistical Analysis, Statistics
National Assessment Governing Board, Washington, DC. – 2003
This framework will define the purpose and scope of NAEP's system of collecting background information, including background questionnaires and other sources of non-cognitive data. It will establish criteria for reporting background information as part of the National Assessment. The approach it suggests provides for asking various groups of…
Descriptors: Demography, Item Sampling, Public Policy, School Demography

Sirotnik, Ken – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Item Sampling, Mathematical Models, Statistical Analysis

Gold, Robert S.; And Others – Journal of School Health, 1983
This article examines the utility of multi-matrix sampling as a technique in health education research that permits collection of large quantities of data without lengthy questionnaires or excessive time demands on respondents. Advantages and limitations of multi-matrix sampling are delineated through a hypothetical example. (Authors/CJ)
Descriptors: Data Collection, Health Education, Item Sampling, Matrices

Pandey, Tej N.; Shoemaker, David M. – Educational and Psychological Measurement, 1975
Described herein are formulas and computational procedures for estimating the mean and second through fourth central moments of universe scores through multiple matrix sampling. Additionally, procedures are given for approximating the standard error associated with each estimate. All procedures are applicable when items are scored either…
Descriptors: Error of Measurement, Item Sampling, Matrices, Scoring Formulas

Moy, Mabel L. Y.; Barcikowski, Robert S. – Journal of Experimental Education, 1974
The purpose of this study was to help determine optimum item sampling plans for use in school evaluation projects. (Author)
Descriptors: Data Analysis, Evaluation Methods, Guidelines, Item Sampling
Pandey, Tej N. – 1975
Standard errors of pooled mean estimate in multiple matrix sampling were compared for two procedures. The data were from tests involving items with and without replacement. The two procedures involve the formulations of Madow and Lord, and Novick; the former permits sampling of item, with or without replacement, whereas the latter is to be used…
Descriptors: Comparative Analysis, Error of Measurement, Item Sampling, Matrices
Hill, Richard K., Jr. – 1973
A model for multiple choice test-taking behavior is proposed which is different from those presently used for item sampling theory. A new theory is developed, which includes a new concept to facilitate comprehension of item sampling theory, a "number-known" score distribution. A major advantage of the model is that it accommodates data from…
Descriptors: Item Sampling, Mathematical Models, Norms, Speeches
Rouse, William B.; Rouse, Sandra H. – 1976
This paper considers estimation of parameters for a model currently being used to study the Illinois Interlibrary Loan Network (ILLINET) and presents a method for determining how much data should be collected and how it should be aggregated. Four classes of model parameters discussed: demands, probabilities of success, processing times, and…
Descriptors: Data Collection, Interlibrary Loans, Item Sampling, Library Networks

Fhaner, Stig – Scandinavian Journal of Educational Research, 1973
An item sampling model for achievement testing with items scored in an arbitrary number of categories is investigated. (Author)
Descriptors: Achievement Tests, Decision Making, Item Sampling, Models

Sirotnik, Ken – Educational and Psychological Measurement, 1972
Investigates implications for finite and known item populations for classical test theory, and the alpha coefficient among items in paper-and-pencil testing. (Author/AG)
Descriptors: Analysis of Variance, Item Sampling, Mathematical Models, Statistical Analysis