Sökning: onr:"swepub:oai:DiVA.org:su-198066" >
Optimal Test Design...
Optimal Test Design for Estimation of Mean Ability Growth
-
- Bjermo, Jonas, 1977- (författare)
- Stockholms universitet,Statistiska institutionen
-
(creator_code:org_t)
- Engelska.
- Relaterad länk:
-
https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- The design of an achievement test is of importance for many reasons. This paper focuses on the mean ability growth of a population from one school grade to another. With test design, we mean how to allocate the test items concerning difficulties. The objective is to estimate the mean ability growth as efficiently as possible. We use the asymptotic expression for the mean ability growth in terms of the test information. With that expression as the criterion for optimization, we use particle swarm optimization to find the optimal design. The optimization function is dependent on the examinees' abilities, and therefore the value of the unknown mean ability growth. Hence, we will also use an optimum in average design. The conclusion is that we should allocate the common items in the middle of the difficulty span, with the two separate test items on different sides. When we decrease the difference in mean ability between the groups, the ranges of the common and test items coincide more.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- SAMHÄLLSVETENSKAP -- Utbildningsvetenskap (hsv//swe)
- SOCIAL SCIENCES -- Educational Sciences (hsv//eng)
Nyckelord
- test design
- item response theory
- ability growth
- particle swarm optimization
- optimal design
- optimal in average
- Statistics
- statistik
Publikations- och innehållstyp
- vet (ämneskategori)
- ovr (ämneskategori)