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政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/18186

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Title:	Application of Sequential Interval Estimation to adaptive mastery testing
Authors:	張源俊 Chang,Yuan-chin Ivan
Date:	2005-12
Issue Date:	2008-12-19 14:53:52 (UTC+8)
Abstract:	In this paper, we apply sequential one-sided confidence interval estimation procedures with β-protection to adaptive mastery testing. The procedures of fixed-width and fixed proportional accuracy confidence interval estimation can be viewed as extensions of one-sided confidence interval procedures. It can be shown that the adaptive mastery testing procedure based on a one-sided confidence interval with β-protection is more efficient in terms of test length than a testing procedure based on a two-sided/fixed-width confidence interval. Some simulation studies applying the one-sided confidence interval procedure and its extensions mentioned above to adaptive mastery testing are conducted. For the purpose of comparison, we also have a numerical study of adaptive mastery testing based on Wald`s sequential probability ratio test. The comparison of their performances is based on the correct classification probability, averages of test length, as well as the width of the “indifference regions.” From these empirical results, we found that applying the one-sided confidence interval procedure to adaptive mastery testing is very promising.
Relation:	Psychometrika, 70(4), 685-713
Data Type:	article
Appears in Collections:	[統計學系] 期刊論文

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