Items and dimensions for the construction of a multidimensional computerized adaptive test to measure fatigue in patients with rheumatoid arthritis
Abstract Objectives Development of an item pool to construct a future computerized adaptive test (CAT) for fatigue in rheumatoid arthritis (RA). The item pool was based on the patients' perspective and examined for face and content validity previously. This study assessed the fit of the items w...
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| Veröffentlicht in: | Journal of clinical epidemiology 2013-10, Vol.66 (10), p.1175-1183 |
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| creator | Nikolaus, Stephanie Bode, Christina Taal, Erik Oostveen, Johanna C.M Glas, Cees A.W van de Laar, Mart A.F.J |
| description | Abstract Objectives Development of an item pool to construct a future computerized adaptive test (CAT) for fatigue in rheumatoid arthritis (RA). The item pool was based on the patients' perspective and examined for face and content validity previously. This study assessed the fit of the items with seven predefined dimensions and examined the item pool's dimensionality structure in statistical terms. Study Design and Setting A total of 551 patients with RA participated in this study. Several steps were conducted to come from an explorative item pool to a psychometrically sound item bank. The item response theory (IRT) analysis using the generalized partial credit model was conducted for each of the seven predefined dimensions. Poorly fitting items were removed. Finally, the best possible multidimensional IRT (MIRT) model for the data was identified. Results In IRT analysis, 49 items showed insufficient item characteristics. Items with a discriminative ability below 0.60 and/or model misfit effect sizes greater than 0.10 were removed. Factor analysis on the 196 remaining items revealed three dimensions, namely severity, impact, and variability of fatigue. The dimensions were further confirmed in MIRT model analysis. Conclusion This study provided an initially calibrated item bank and showed which dimensions and items can be used for the development of a multidimensional CAT for fatigue in RA. |
| doi_str_mv | 10.1016/j.jclinepi.2013.05.010 |
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The item pool was based on the patients' perspective and examined for face and content validity previously. This study assessed the fit of the items with seven predefined dimensions and examined the item pool's dimensionality structure in statistical terms. Study Design and Setting A total of 551 patients with RA participated in this study. Several steps were conducted to come from an explorative item pool to a psychometrically sound item bank. The item response theory (IRT) analysis using the generalized partial credit model was conducted for each of the seven predefined dimensions. Poorly fitting items were removed. Finally, the best possible multidimensional IRT (MIRT) model for the data was identified. Results In IRT analysis, 49 items showed insufficient item characteristics. Items with a discriminative ability below 0.60 and/or model misfit effect sizes greater than 0.10 were removed. Factor analysis on the 196 remaining items revealed three dimensions, namely severity, impact, and variability of fatigue. The dimensions were further confirmed in MIRT model analysis. Conclusion This study provided an initially calibrated item bank and showed which dimensions and items can be used for the development of a multidimensional CAT for fatigue in RA.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2013.05.010</identifier><identifier>PMID: 23958376</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Analysis. Health state ; Arthritis, Rheumatoid - physiopathology ; Arthritis, Rheumatoid - psychology ; Biological and medical sciences ; Computerized adaptive test ; Diagnosis, Computer-Assisted ; Epidemiology ; Factor analysis ; Fatigue ; Fatigue - diagnosis ; Female ; General aspects ; Humans ; Internal Medicine ; Item response theory ; Male ; Medical sciences ; Middle Aged ; Models, Psychological ; Patient-reported outcome ; Psychometrics ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Questionnaires ; Reproducibility of Results ; Rheumatoid arthritis ; Surveys and Questionnaires ; Young Adult</subject><ispartof>Journal of clinical epidemiology, 2013-10, Vol.66 (10), p.1175-1183</ispartof><rights>Elsevier Inc.</rights><rights>2013 Elsevier Inc.</rights><rights>2014 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Oct 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-abf3243f2d78ad1aca73db6c4c95c5b104d016ca7588ecb05230876b8cd713c13</citedby><cites>FETCH-LOGICAL-c481t-abf3243f2d78ad1aca73db6c4c95c5b104d016ca7588ecb05230876b8cd713c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1428620345?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27683197$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23958376$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nikolaus, Stephanie</creatorcontrib><creatorcontrib>Bode, Christina</creatorcontrib><creatorcontrib>Taal, Erik</creatorcontrib><creatorcontrib>Oostveen, Johanna C.M</creatorcontrib><creatorcontrib>Glas, Cees A.W</creatorcontrib><creatorcontrib>van de Laar, Mart A.F.J</creatorcontrib><title>Items and dimensions for the construction of a multidimensional computerized adaptive test to measure fatigue in patients with rheumatoid arthritis</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>Abstract Objectives Development of an item pool to construct a future computerized adaptive test (CAT) for fatigue in rheumatoid arthritis (RA). The item pool was based on the patients' perspective and examined for face and content validity previously. This study assessed the fit of the items with seven predefined dimensions and examined the item pool's dimensionality structure in statistical terms. Study Design and Setting A total of 551 patients with RA participated in this study. Several steps were conducted to come from an explorative item pool to a psychometrically sound item bank. The item response theory (IRT) analysis using the generalized partial credit model was conducted for each of the seven predefined dimensions. Poorly fitting items were removed. Finally, the best possible multidimensional IRT (MIRT) model for the data was identified. Results In IRT analysis, 49 items showed insufficient item characteristics. Items with a discriminative ability below 0.60 and/or model misfit effect sizes greater than 0.10 were removed. Factor analysis on the 196 remaining items revealed three dimensions, namely severity, impact, and variability of fatigue. The dimensions were further confirmed in MIRT model analysis. Conclusion This study provided an initially calibrated item bank and showed which dimensions and items can be used for the development of a multidimensional CAT for fatigue in RA.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis. Health state</subject><subject>Arthritis, Rheumatoid - physiopathology</subject><subject>Arthritis, Rheumatoid - psychology</subject><subject>Biological and medical sciences</subject><subject>Computerized adaptive test</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Epidemiology</subject><subject>Factor analysis</subject><subject>Fatigue</subject><subject>Fatigue - diagnosis</subject><subject>Female</subject><subject>General aspects</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Item response theory</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Models, Psychological</subject><subject>Patient-reported outcome</subject><subject>Psychometrics</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Questionnaires</subject><subject>Reproducibility of Results</subject><subject>Rheumatoid arthritis</subject><subject>Surveys and Questionnaires</subject><subject>Young Adult</subject><issn>0895-4356</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkstu1TAQhiMEoofCK1SWEBKbBF_i2NkgqopLpUosgLXl2BOOQ274UlRegxfG4Zy2UjesbI--Gc_8_xTFGcEVwaR5M1SDGd0Mq6soJqzCvMIEPyp2RApZ8paSx8UOy5aXNePNSfEshAFjIrDgT4sTyloumWh2xZ_LCFNAerbIugnm4JY5oH7xKO4BmfyIPpmYo2jpkUZTGqO7I_WYkWlNEbz7DRZpq9forgFFCBHFBU2gQ_KAeh3d9wTIzWjNV5hjQL9c3CO_hzTpuLic7OPeu-jC8-JJr8cAL47nafHtw_uvF5_Kq88fLy_Or0pTSxJL3fWM1qynVkhtiTZaMNs1pjYtN7wjuLZZqRzlUoLpMKcMS9F00lhBmCHstHh9qLv65WfKHavJBQPjqGdYUlCkpm1Tc4qbjL58gA5L8nn-f5RsKGY1z1RzoIxfQvDQq9W7SfsbRbDabFODurVNbbYpzFW2LSeeHcunbgJ7l3brUwZeHQEdjB57r2fjwj0nGslIKzL37sBB1u3agVfBZLUNWOfBRGUX9_9e3j4osVEu__oDbiDcz60CVVh92ZZs2zHC8n61vGV_AVOA0cQ</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Nikolaus, Stephanie</creator><creator>Bode, Christina</creator><creator>Taal, Erik</creator><creator>Oostveen, Johanna C.M</creator><creator>Glas, Cees A.W</creator><creator>van de Laar, Mart A.F.J</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7RV</scope><scope>7T2</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20131001</creationdate><title>Items and dimensions for the construction of a multidimensional computerized adaptive test to measure fatigue in patients with rheumatoid arthritis</title><author>Nikolaus, Stephanie ; Bode, Christina ; Taal, Erik ; Oostveen, Johanna C.M ; Glas, Cees A.W ; van de Laar, Mart A.F.J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-abf3243f2d78ad1aca73db6c4c95c5b104d016ca7588ecb05230876b8cd713c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis. Health state</topic><topic>Arthritis, Rheumatoid - physiopathology</topic><topic>Arthritis, Rheumatoid - psychology</topic><topic>Biological and medical sciences</topic><topic>Computerized adaptive test</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Epidemiology</topic><topic>Factor analysis</topic><topic>Fatigue</topic><topic>Fatigue - diagnosis</topic><topic>Female</topic><topic>General aspects</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Item response theory</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Models, Psychological</topic><topic>Patient-reported outcome</topic><topic>Psychometrics</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Questionnaires</topic><topic>Reproducibility of Results</topic><topic>Rheumatoid arthritis</topic><topic>Surveys and Questionnaires</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nikolaus, Stephanie</creatorcontrib><creatorcontrib>Bode, Christina</creatorcontrib><creatorcontrib>Taal, Erik</creatorcontrib><creatorcontrib>Oostveen, Johanna C.M</creatorcontrib><creatorcontrib>Glas, Cees A.W</creatorcontrib><creatorcontrib>van de Laar, Mart A.F.J</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nikolaus, Stephanie</au><au>Bode, Christina</au><au>Taal, Erik</au><au>Oostveen, Johanna C.M</au><au>Glas, Cees A.W</au><au>van de Laar, Mart A.F.J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Items and dimensions for the construction of a multidimensional computerized adaptive test to measure fatigue in patients with rheumatoid arthritis</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2013-10-01</date><risdate>2013</risdate><volume>66</volume><issue>10</issue><spage>1175</spage><epage>1183</epage><pages>1175-1183</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>Abstract Objectives Development of an item pool to construct a future computerized adaptive test (CAT) for fatigue in rheumatoid arthritis (RA). The item pool was based on the patients' perspective and examined for face and content validity previously. This study assessed the fit of the items with seven predefined dimensions and examined the item pool's dimensionality structure in statistical terms. Study Design and Setting A total of 551 patients with RA participated in this study. Several steps were conducted to come from an explorative item pool to a psychometrically sound item bank. The item response theory (IRT) analysis using the generalized partial credit model was conducted for each of the seven predefined dimensions. Poorly fitting items were removed. Finally, the best possible multidimensional IRT (MIRT) model for the data was identified. Results In IRT analysis, 49 items showed insufficient item characteristics. Items with a discriminative ability below 0.60 and/or model misfit effect sizes greater than 0.10 were removed. Factor analysis on the 196 remaining items revealed three dimensions, namely severity, impact, and variability of fatigue. The dimensions were further confirmed in MIRT model analysis. Conclusion This study provided an initially calibrated item bank and showed which dimensions and items can be used for the development of a multidimensional CAT for fatigue in RA.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>23958376</pmid><doi>10.1016/j.jclinepi.2013.05.010</doi><tpages>9</tpages></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Analysis. Health state Arthritis, Rheumatoid - physiopathology Arthritis, Rheumatoid - psychology Biological and medical sciences Computerized adaptive test Diagnosis, Computer-Assisted Epidemiology Factor analysis Fatigue Fatigue - diagnosis Female General aspects Humans Internal Medicine Item response theory Male Medical sciences Middle Aged Models, Psychological Patient-reported outcome Psychometrics Public health. Hygiene Public health. Hygiene-occupational medicine Questionnaires Reproducibility of Results Rheumatoid arthritis Surveys and Questionnaires Young Adult |
| title | Items and dimensions for the construction of a multidimensional computerized adaptive test to measure fatigue in patients with rheumatoid arthritis |
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