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A Bayesian approach for estimating the knowledge of the item pool in multiple choice tests

 

作者: F. W. Wilmink,   K. Nevels,  

 

期刊: British Journal of Mathematical and Statistical Psychology  (WILEY Available online 1982)
卷期: Volume 35, issue 1  

页码: 90-101

 

ISSN:0007-1102

 

年代: 1982

 

DOI:10.1111/j.2044-8317.1982.tb00643.x

 

出版商: Blackwell Publishing Ltd

 

数据来源: WILEY

 

摘要:

Several models exist for the observed numberZof correct answers in a multiple choice test. One of these is the binomial error model which assumes that the conditional distribution ofZgiven the proportion‐correct true score is binomial. The specification of a beta distribution to the proportion‐correct true score has led to the development of the beta‐binomial model. Recently, extensions of the beta‐binomial model have been given that allow for guessing. LettingXbe the number of known items in the test the regression ofXonZhas received much attention. In the present paper it is argued that the numberWof known items in the item pool is of interest rather thanX, and the regression ofWonZis

 

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