| dc.contributor.author | Harrison, PMC | en_US |
| dc.contributor.author | Collins, T | en_US |
| dc.contributor.author | Mullensiefen, D | en_US |
| dc.date.accessioned | 2017-06-27T12:50:13Z | |
| dc.date.available | 2017-05-02 | en_US |
| dc.date.issued | 2017-06-15 | en_US |
| dc.date.submitted | 2017-06-27T13:38:32.308Z | |
| dc.identifier.issn | 2045-2322 | en_US |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | 3618 | |
| dc.identifier.other | ARTN 3618 | en_US |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/24598 | |
| dc.description.sponsorship | Part of this research appeared in a Master’s dissertation by the first author, who was partly supported by the EPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology (EP/L01632X/1). The second author was partially supported by an Early Career Research Fellowship from De Montfort University. | en_US |
| dc.relation.ispartof | SCIENTIFIC REPORTS | en_US |
| dc.rights | 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/. | |
| dc.title | Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation | en_US |
| dc.type | Article | |
| dc.rights.holder | © The Author(s) 2017 | |
| dc.identifier.doi | 10.1038/s41598-017-03586-z | en_US |
| pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000403314500066&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 7 | en_US |
| qmul.funder | EPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology::Engineering and Physical Sciences Research Council | en_US |
