Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation

Abstract Modern psychometric theory provides many useful tools for ability testing, such as item response theory, computerised adaptive testing, and automatic item generation. However, these techniques have yet to be integrated into mainstream psychological practice. This is unfortunate, because mod...

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Autores principales: Peter M. C. Harrison, Tom Collins, Daniel Müllensiefen
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/3e936ebbd19341c8b02a32c5fb303c6f
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spelling oai:doaj.org-article:3e936ebbd19341c8b02a32c5fb303c6f2021-12-02T15:05:37ZApplying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation10.1038/s41598-017-03586-z2045-2322https://doaj.org/article/3e936ebbd19341c8b02a32c5fb303c6f2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03586-zhttps://doaj.org/toc/2045-2322Abstract Modern psychometric theory provides many useful tools for ability testing, such as item response theory, computerised adaptive testing, and automatic item generation. However, these techniques have yet to be integrated into mainstream psychological practice. This is unfortunate, because modern psychometric techniques can bring many benefits, including sophisticated reliability measures, improved construct validity, avoidance of exposure effects, and improved efficiency. In the present research we therefore use these techniques to develop a new test of a well-studied psychological capacity: melodic discrimination, the ability to detect differences between melodies. We calibrate and validate this test in a series of studies. Studies 1 and 2 respectively calibrate and validate an initial test version, while Studies 3 and 4 calibrate and validate an updated test version incorporating additional easy items. The results support the new test’s viability, with evidence for strong reliability and construct validity. We discuss how these modern psychometric techniques may also be profitably applied to other areas of music psychology and psychological science in general.Peter M. C. HarrisonTom CollinsDaniel MüllensiefenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-18 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Peter M. C. Harrison
Tom Collins
Daniel Müllensiefen
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
description Abstract Modern psychometric theory provides many useful tools for ability testing, such as item response theory, computerised adaptive testing, and automatic item generation. However, these techniques have yet to be integrated into mainstream psychological practice. This is unfortunate, because modern psychometric techniques can bring many benefits, including sophisticated reliability measures, improved construct validity, avoidance of exposure effects, and improved efficiency. In the present research we therefore use these techniques to develop a new test of a well-studied psychological capacity: melodic discrimination, the ability to detect differences between melodies. We calibrate and validate this test in a series of studies. Studies 1 and 2 respectively calibrate and validate an initial test version, while Studies 3 and 4 calibrate and validate an updated test version incorporating additional easy items. The results support the new test’s viability, with evidence for strong reliability and construct validity. We discuss how these modern psychometric techniques may also be profitably applied to other areas of music psychology and psychological science in general.
format article
author Peter M. C. Harrison
Tom Collins
Daniel Müllensiefen
author_facet Peter M. C. Harrison
Tom Collins
Daniel Müllensiefen
author_sort Peter M. C. Harrison
title Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
title_short Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
title_full Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
title_fullStr Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
title_full_unstemmed Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
title_sort applying modern psychometric techniques to melodic discrimination testing: item response theory, computerised adaptive testing, and automatic item generation
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/3e936ebbd19341c8b02a32c5fb303c6f
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AT danielmullensiefen applyingmodernpsychometrictechniquestomelodicdiscriminationtestingitemresponsetheorycomputerisedadaptivetestingandautomaticitemgeneration
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