Cargando…

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

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 psych...

Descripción completa

Detalles Bibliográficos
Autores principales: Harrison, Peter M. C., Collins, Tom, Müllensiefen, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5472621/
https://www.ncbi.nlm.nih.gov/pubmed/28620165
http://dx.doi.org/10.1038/s41598-017-03586-z
_version_ 1783244145289068544
author Harrison, Peter M. C.
Collins, Tom
Müllensiefen, Daniel
author_facet Harrison, Peter M. C.
Collins, Tom
Müllensiefen, Daniel
author_sort Harrison, Peter M. C.
collection PubMed
description 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 Online
Article
Text
id pubmed-5472621
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-54726212017-06-21 Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation Harrison, Peter M. C. Collins, Tom Müllensiefen, Daniel Sci Rep Article 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. Nature Publishing Group UK 2017-06-15 /pmc/articles/PMC5472621/ /pubmed/28620165 http://dx.doi.org/10.1038/s41598-017-03586-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Harrison, Peter M. C.
Collins, Tom
Müllensiefen, Daniel
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5472621/
https://www.ncbi.nlm.nih.gov/pubmed/28620165
http://dx.doi.org/10.1038/s41598-017-03586-z
work_keys_str_mv AT harrisonpetermc applyingmodernpsychometrictechniquestomelodicdiscriminationtestingitemresponsetheorycomputerisedadaptivetestingandautomaticitemgeneration
AT collinstom applyingmodernpsychometrictechniquestomelodicdiscriminationtestingitemresponsetheorycomputerisedadaptivetestingandautomaticitemgeneration
AT mullensiefendaniel applyingmodernpsychometrictechniquestomelodicdiscriminationtestingitemresponsetheorycomputerisedadaptivetestingandautomaticitemgeneration