About: Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
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.
  • 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. (en)
Title
  • Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing
  • Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing (en)
skos:prefLabel
  • Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing
  • Computer-Adaptive Testing: Item Analysis and Statistics for Effective Testing (en)
skos:notation
  • RIV/60162694:G43__/14:00521399!RIV15-MO0-G43_____
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 8505
http://linked.open...ai/riv/idVysledku
  • RIV/60162694:G43__/14:00521399
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • computer-adaptive testing (CAT); test assessment; item construction; item analysis; ITEMAN (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BF5CD79AF1C2]
http://linked.open...v/mistoKonaniAkce
  • Copenhagen, Denmark
http://linked.open...i/riv/mistoVydani
  • Copenhagen, Denmark
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 13th European Conference on e-Learning ECEL-2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Neubauer, Jiří
  • Sedlačík, Marek
  • Čechová, Ivana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Aalborg University Copenhagen, Denmark
https://schema.org/isbn
  • 978-1-910309-67-4
http://localhost/t...ganizacniJednotka
  • G43
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software