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A Comparison of Item Sampling Plans in the Application of Multiple Matrix Sampling
Author(s) -
Gressard Risa P.,
Loyd Brenda H.
Publication year - 1991
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1991.tb00348.x
Subject(s) - sampling (signal processing) , statistics , stratified sampling , sampling design , variance (accounting) , monte carlo method , sample size determination , slice sampling , sample (material) , cluster sampling , computer science , mathematics , importance sampling , econometrics , population , chemistry , demography , accounting , filter (signal processing) , chromatography , sociology , business , computer vision
This study used a Monte Carlo approach to investigate the effect of item sampling by item stratification on parameter estimation when applying multiple matrix sampling to achievement data. From the results of this study it was concluded that the item sampling method and sampling plan which is a practical compromise in terms of precision and sample size is one based on item stratification by item discrimination and a sampling plan with a moderate number of subtests. This sampling condition provides reasonable precision of the mean and variance estimates but requires only a moderately sized sample.