Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing

Result code in IS VaVaI

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Result on the web

<a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing

Original language description

Every year, hundreds of secondary school students take a university entrance exam, and their results determine entry into universities or possible alternatives, such as employment. In the same way, every year university teachers face the following questions: How is it possible to cope with the number of students? And how can entrance testing be as effective as possible? One possible solution is computerized testing, which creates new opportunities as well as challenges for the production and administration of test forms. This paper presents on-going research at the Faculty of Economics and Management of the University of Defence in Brno, on test item analysis as well as the students’ success during an entrance exam. Item analysis is a procedure to increase the reliability and validity of a test, by separately evaluating each test item to determine whether or not that item discriminates in the same way that the overall test is intended to discriminate. There are many ways to conduct item analysis (Tuckman 1972, Michael 1981, Nelson 2008) and ITEMAN is a useful tool to analyse objective data. For this reason, the authors of this article focused on test item selection via the ITEMAN test/scale analysis program, which provides item statistics, test/scale statistics, frequency distribution with a histogram, and item response analysis. The authors’ ultimate goal is to find out how successful the students are in their entrance tests, which consist of the Learning Potential Test and the English Language Test. Careful item analysis and entrance test composition, together with entrance exam analysis, are factors that might predict academic achievement in tertiary education.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

AM - Pedagogy and education

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 13th European Conference on e-Learning ECEL-2014

ISBN

978-1-910309-69-8

ISSN

2048-8637

e-ISSN

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Number of pages

7

Pages from-to

106-112

Publisher name

Aalborg University Copenhagen, Denmark

Place of publication

Copenhagen, Denmark

Event location

Copenhagen, Denmark

Event date

Jan 1, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000351434400014