A Comparison of Item Sampling Plans in the Application of Multiple Matrix Sampling

Autor: Risa P. Gressard, Brenda H. Loyd
Rok vydání: 1991
Předmět:
Zdroj: Journal of Educational Measurement. 28:119-130
ISSN: 1745-3984
0022-0655
DOI: 10.1111/j.1745-3984.1991.tb00348.x
Popis: 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.
Databáze: OpenAIRE