Skip to content

Commit

Permalink
Merge pull request #5622 from openjournals/joss.06523
Browse files Browse the repository at this point in the history 
Merging automatically
  • Loading branch information
@editorialbot
editorialbot authored Jul 15, 2024
2 parents 8ce2d35 + 9eca68a commit 8497c56
Show file tree
Hide file tree
Showing 5 changed files with 889 additions and 0 deletions.
271 changes: 271 additions & 0 deletions joss.06523/10.21105.joss.06523.crossref.xml
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,271 @@
<?xml version="1.0" encoding="UTF-8"?>
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1"
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd"
xmlns:rel="http://www.crossref.org/relations.xsd"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
version="5.3.1"
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd">
<head>
<doi_batch_id>20240715172512-511b61703581a4ba84688a1efa5fe3f8a1970632</doi_batch_id>
<timestamp>20240715172512</timestamp>
<depositor>
<depositor_name>JOSS Admin</depositor_name>
<email_address>[email protected]</email_address>
</depositor>
<registrant>The Open Journal</registrant>
</head>
<body>
<journal>
<journal_metadata>
<full_title>Journal of Open Source Software</full_title>
<abbrev_title>JOSS</abbrev_title>
<issn media_type="electronic">2475-9066</issn>
<doi_data>
<doi>10.21105/joss</doi>
<resource>https://joss.theoj.org</resource>
</doi_data>
</journal_metadata>
<journal_issue>
<publication_date media_type="online">
<month>07</month>
<year>2024</year>
</publication_date>
<journal_volume>
<volume>9</volume>
</journal_volume>
<issue>99</issue>
</journal_issue>
<journal_article publication_type="full_text">
<titles>
<title>D3mirt: Descriptive Three-Dimensional Multidimensional
Item Response Theory for R</title>
</titles>
<contributors>
<person_name sequence="first" contributor_role="author">
<given_name>Erik</given_name>
<surname>Forsberg</surname>
<ORCID>https://orcid.org/0000-0002-5228-9729</ORCID>
</person_name>
</contributors>
<publication_date>
<month>07</month>
<day>15</day>
<year>2024</year>
</publication_date>
<pages>
<first_page>6523</first_page>
</pages>
<publisher_item>
<identifier id_type="doi">10.21105/joss.06523</identifier>
</publisher_item>
<ai:program name="AccessIndicators">
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref>
</ai:program>
<rel:program>
<rel:related_item>
<rel:description>Software archive</rel:description>
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.17605/OSF.IO/ZEFGW</rel:inter_work_relation>
</rel:related_item>
<rel:related_item>
<rel:description>GitHub review issue</rel:description>
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/6523</rel:inter_work_relation>
</rel:related_item>
</rel:program>
<doi_data>
<doi>10.21105/joss.06523</doi>
<resource>https://joss.theoj.org/papers/10.21105/joss.06523</resource>
<collection property="text-mining">
<item>
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.06523.pdf</resource>
</item>
</collection>
</doi_data>
<citation_list>
<citation key="Chalmers:2012">
<article_title>mirt: A Multidimensional Item Response Theory
Package for the R Environment</article_title>
<author>Chalmers</author>
<journal_title>Journal of Statistical
Software</journal_title>
<issue>6</issue>
<volume>48</volume>
<doi>10.18637/jss.v048.i06</doi>
<cYear>2012</cYear>
<unstructured_citation>Chalmers, R. P. (2012). mirt: A
Multidimensional Item Response Theory Package for the R Environment.
Journal of Statistical Software, 48(6), 1–29.
https://doi.org/10.18637/jss.v048.i06</unstructured_citation>
</citation>
<citation key="Weeks:2010">
<article_title>plink: An R Package for Linking Mixed-Format
Tests Using IRT-Based Methods</article_title>
<author>Weeks</author>
<journal_title>Journal of Statistical
Software</journal_title>
<issue>12</issue>
<volume>35</volume>
<doi>10.18637/jss.v035.i12</doi>
<cYear>2010</cYear>
<unstructured_citation>Weeks, J. P. (2010). plink: An R
Package for Linking Mixed-Format Tests Using IRT-Based Methods. Journal
of Statistical Software, 35(12), 1–33.
https://doi.org/10.18637/jss.v035.i12</unstructured_citation>
</citation>
<citation key="flexMIRT">
<volume_title>flexMIRT user’s manual version 3.52: Flexible
multilevel multidimensional item analysis and test
scoring</volume_title>
<author>Houts</author>
<cYear>2020</cYear>
<unstructured_citation>Houts, C. R., &amp; Cai, L. (2020).
flexMIRT user’s manual version 3.52: Flexible multilevel
multidimensional item analysis and test scoring. Vector Psychometric
Group.</unstructured_citation>
</citation>
<citation key="IRTPRO">
<volume_title>IRTPRO for Windows</volume_title>
<author>Thissen</author>
<cYear>2011</cYear>
<unstructured_citation>Thissen, C. L., &amp; du Toit, S. H.
C. (2011). IRTPRO for Windows. Scientific Software
International.</unstructured_citation>
</citation>
<citation key="Mathematica">
<article_title>Mathematica, Version 13.3</article_title>
<author>Mathematica</author>
<cYear>2023</cYear>
<unstructured_citation>Mathematica. (2023). Mathematica,
Version 13.3. Wolfram Research Inc.
https://www.wolfram.com/mathematica</unstructured_citation>
</citation>
<citation key="MATLAB">
<article_title>MATLAB Version: 9.13.0
(R2022b)</article_title>
<author>MATLAB</author>
<cYear>2022</cYear>
<unstructured_citation>MATLAB. (2022). MATLAB Version:
9.13.0 (R2022b). The MathWorks Inc.
https://www.mathworks.com</unstructured_citation>
</citation>
<citation key="MPLUS">
<volume_title>Mplus User’s Guide. Eight
Edition</volume_title>
<author>Muthén</author>
<unstructured_citation>Muthén, L. K., &amp; Muthén, B. O.
(1998-2017). Mplus User’s Guide. Eight Edition. Muthén &amp; Muthén.
https://www.statmodel.com</unstructured_citation>
</citation>
<citation key="Forsberg:2024">
<article_title>A Validation Study of the Extended Relevance
Scale using the D3mirt Package for R</article_title>
<author>Forsberg</author>
<journal_title>Measurement: Interdisciplinary Research and
Perspectives</journal_title>
<doi>10.1080/15366367.2023.2282418</doi>
<cYear>2024</cYear>
<unstructured_citation>Forsberg, E., &amp; Sjöberg, A.
(2024). A Validation Study of the Extended Relevance Scale using the
D3mirt Package for R. Measurement: Interdisciplinary Research and
Perspectives, 1–23.
https://doi.org/10.1080/15366367.2023.2282418</unstructured_citation>
</citation>
<citation key="Adler+Murdoch:2023">
<volume_title>Rgl: 3D visualization using
OpenGL</volume_title>
<author>Adler</author>
<doi>10.32614/CRAN.package.rgl</doi>
<cYear>2023</cYear>
<unstructured_citation>Adler, D., &amp; Murdoch, D. (2023).
Rgl: 3D visualization using OpenGL.
https://doi.org/10.32614/CRAN.package.rgl</unstructured_citation>
</citation>
<citation key="Hambleton+Jones+Rogers:1991">
<volume_title>Fundamentals of item response
theory</volume_title>
<author>Hambleton</author>
<cYear>1991</cYear>
<unstructured_citation>Hambleton, S., R. K., &amp; Rogers,
H. J. (1991). Fundamentals of item response theory. SAGE
Publications.</unstructured_citation>
</citation>
<citation key="Muraki+Carlson:1995">
<article_title>Full-information factor analysis for
polytomous item responses</article_title>
<author>Muraki</author>
<journal_title>Applied Psychological
Measurement</journal_title>
<issue>19</issue>
<volume>1</volume>
<doi>10.1177/014662169501900109</doi>
<cYear>1995</cYear>
<unstructured_citation>Muraki, E., &amp; Carlson, J. E.
(1995). Full-information factor analysis for polytomous item responses.
Applied Psychological Measurement, 1(19), 73–90.
https://doi.org/10.1177/014662169501900109</unstructured_citation>
</citation>
<citation key="McKinley+Reckase:1983">
<article_title>An extension of the two-parameter logistic
model to the multidimensional latent space</article_title>
<author>McKinley</author>
<cYear>1983</cYear>
<unstructured_citation>McKinley, R. L., &amp; Reckase, M. D.
(1983). An extension of the two-parameter logistic model to the
multidimensional latent space (No. ONR83-2). American College Testing
Program.</unstructured_citation>
</citation>
<citation key="R">
<volume_title>R: A Language and Environment for Statistical
Computing</volume_title>
<author>R Core Team</author>
<cYear>2021</cYear>
<unstructured_citation>R Core Team. (2021). R: A Language
and Environment for Statistical Computing. R Foundation for Statistical
Computing. https://www.R-project.org/</unstructured_citation>
</citation>
<citation key="Reckase:2009">
<volume_title>Multidimensional Item Response
Theory</volume_title>
<author>Reckase</author>
<doi>10.1007/978-0-387-89976-3</doi>
<cYear>2009</cYear>
<unstructured_citation>Reckase, M. D. (2009).
Multidimensional Item Response Theory. Springer-Verlag.
https://doi.org/10.1007/978-0-387-89976-3</unstructured_citation>
</citation>
<citation key="Reckase:1985">
<article_title>The Difficulty of Test Items That Measure
More Than One Ability</article_title>
<author>Reckase</author>
<journal_title>Applied Psychological
Measurement</journal_title>
<issue>9</issue>
<volume>4</volume>
<doi>10.1177/014662168500900409</doi>
<cYear>1985</cYear>
<unstructured_citation>Reckase, M. D. (1985). The Difficulty
of Test Items That Measure More Than One Ability. Applied Psychological
Measurement, 4(9), 401–412.
https://doi.org/10.1177/014662168500900409</unstructured_citation>
</citation>
<citation key="Reckase+McKinley:1991">
<article_title>The Discriminating Power of Items That
Measure More Than One Dimension</article_title>
<author>Reckase</author>
<journal_title>Applied Psychological
Measurement</journal_title>
<issue>15</issue>
<volume>4</volume>
<doi>10.1177/014662169101500407</doi>
<cYear>1991</cYear>
<unstructured_citation>Reckase, M. D., &amp; McKinley, R. L.
(1991). The Discriminating Power of Items That Measure More Than One
Dimension. Applied Psychological Measurement, 4(15), 361–373.
https://doi.org/10.1177/014662169101500407</unstructured_citation>
</citation>
</citation_list>
</journal_article>
</journal>
</body>
</doi_batch>
Binary file added joss.06523/10.21105.joss.06523.pdf
View file
Binary file not shown.
Loading

0 comments on commit 8497c56

Please sign in to comment.