Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation.
Identifieur interne : 000A84 ( Main/Exploration ); précédent : 000A83; suivant : 000A85Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation.
Auteurs : Peter M C. Harrison [Royaume-Uni] ; Tom Collins [États-Unis] ; Daniel Müllensiefen [Royaume-Uni]Source :
- Scientific reports [ 2045-2322 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
- méthodes : Psychométrie.
- Adulte, Adulte d'âge moyen, Cognition, Femelle, Humains, Jeune adulte, Modèles psychologiques, Musique, Mâle, Méthode de Monte Carlo.
English descriptors
- KwdEn :
- MESH :
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.
DOI: 10.1038/s41598-017-03586-z
PubMed: 28620165
PubMed Central: PMC5472621
Affiliations:
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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.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28620165</PMID><DateCompleted><Year>2019</Year><Month>06</Month><Day>04</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>06</Month><Day>15</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation.</ArticleTitle><Pagination><MedlinePgn>3618</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-017-03586-z</ELocationID><Abstract><AbstractText>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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Harrison</LastName><ForeName>Peter M C</ForeName><Initials>PMC</Initials><Identifier Source="ORCID">0000-0002-9851-9462</Identifier><AffiliationInfo><Affiliation>Queen Mary University of London, School of Electronic Engineering and Computer Science, London, E1 4NS, United Kingdom. p.m.c.harrison@qmul.ac.uk.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Goldsmiths, University of London, Department of Psychology, London, SE14 6NW, United Kingdom. p.m.c.harrison@qmul.ac.uk.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Collins</LastName><ForeName>Tom</ForeName><Initials>T</Initials><Identifier Source="ORCID">0000-0001-7880-5093</Identifier><AffiliationInfo><Affiliation>Lehigh University, Department of Psychology, 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Harrison</name></region><name sortKey="Harrison, Peter M C" sort="Harrison, Peter M C" uniqKey="Harrison P" first="Peter M C" last="Harrison">Peter M C. Harrison</name><name sortKey="Mullensiefen, Daniel" sort="Mullensiefen, Daniel" uniqKey="Mullensiefen D" first="Daniel" last="Müllensiefen">Daniel Müllensiefen</name></country><country name="États-Unis"><noRegion><name sortKey="Collins, Tom" sort="Collins, Tom" uniqKey="Collins T" first="Tom" last="Collins">Tom Collins</name></noRegion><name sortKey="Collins, Tom" sort="Collins, Tom" uniqKey="Collins T" first="Tom" last="Collins">Tom Collins</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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