Journal article
Confidence Intervals for Weighted Composite Scores Under the Compound Binomial Error Model
Journal of educational measurement, Vol.55(1), pp.152-172
03/01/2018
DOI: 10.1111/jedm.12168
Abstract
Reporting confidence intervals with test scores helps test users make important decisions about examinees by providing information about the precision of test scores. Although a variety of estimation procedures based on the binomial error model are available for computing intervals for test scores, these procedures assume that items are randomly drawn from a undifferentiated universe of items, and therefore might not be suitable for tests developed according to a table of specifications. To address this issue, four interval estimation procedures that use category subscores for the computation of confidence intervals are presented in this article. All four estimation procedures assume that subscores instead of test scores follow a binomial distribution (i.e., compound binomial error model). The relative performance of the four compound binomial-based interval estimation procedures is compared to each other and to the better known normal approximation and Wilson score procedures based on the binomial error model.
Details
- Title: Subtitle
- Confidence Intervals for Weighted Composite Scores Under the Compound Binomial Error Model
- Creators
- Kyung Yong Kim - Univ North Carolina Greensboro, Dept Educ Res Methodol, Sch Educ 232, 1300 Spring Garden St, Greensboro, NC 27402 USAWon-Chan Lee - Univ Iowa, Ctr Adv Studies Measurement & Assessment, 210 Lindquist Ctr South, Iowa City, IA 52242 USA
- Resource Type
- Journal article
- Publication Details
- Journal of educational measurement, Vol.55(1), pp.152-172
- Publisher
- Wiley
- DOI
- 10.1111/jedm.12168
- ISSN
- 0022-0655
- eISSN
- 1745-3984
- Number of pages
- 21
- Language
- English
- Date published
- 03/01/2018
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371285402771
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