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Peer reviewedShoemaker, David M.; Shoemaker, Judith Sauls – Evaluation and Program Planning: An International Journal, 1981
When evaluating the effectiveness of an educational program, multiple matrix sampling is particularly effective and efficient when the goal of the evaluation is estimating group (as opposed to individual) performance. The technique is described in some detail, with its advantages and disadvantages, and examples of its application are given.…
Descriptors: Educational Assessment, Evaluation Methods, Item Sampling, Program Effectiveness
Sirotnik, Kenneth A. – 1974
One solution to the problem of obtaining test scores in order to assess multiple outcomes of educational programs is a basically simple technique called matrix sampling. Matrix sampling is the estimation of total test score statistics by administering random subsets of test items to randomly selected students. This chapter lays out the specific…
Descriptors: Data Collection, Educational Testing, Evaluation Methods, Guidelines
PDF pending restorationEstes, Carole; Estes, Gary D. – 1980
Multiple matrix sampling is a sampling design in which both test items and examinees are randomly sampled from their respective populations. This study was designed to develop and assess a method for computing an estimate of a correlation coefficient when a multiple matrix sampling design is used. The examinee populations included 212 third-grade…
Descriptors: Correlation, Elementary Secondary Education, Evaluation Methods, Grade 3
Download full textBechger, Timo M.; Maris, Gunter – Psicologica: International Journal of Methodology and Experimental Psychology, 2004
This paper is about the structural equation modelling of quantitative measures that are obtained from a multiple facet design. A facet is simply a set consisting of a finite number of elements. It is assumed that measures are obtained by combining each element of each facet. Methods and traits are two such facets, and a multitrait-multimethod…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Schematic Studies, Correlation
