{"id":"https://openalex.org/W1900478043","doi":"https://doi.org/10.1111/j.1745-3984.2010.00110.x","title":"Factors Affecting the Item Parameter Estimation and Classification Accuracy of the DINA Model","display_name":"Factors Affecting the Item Parameter Estimation and Classification Accuracy of the DINA Model","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W1900478043","doi":"https://doi.org/10.1111/j.1745-3984.2010.00110.x","mag":"1900478043"},"language":"en","primary_location":{"id":"doi:10.1111/j.1745-3984.2010.00110.x","doi":"https://doi.org/10.1111/j.1745-3984.2010.00110.x","is_oa":false,"landing_page_url":"https://doi.org/10.1111/j.1745-3984.2010.00110.x","pdf_url":null,"source":{"id":"https://openalex.org/S30638350","display_name":"Journal of Educational Measurement","issn_l":"0022-0655","issn":["0022-0655","1745-3984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","erih-plus","ki-jl-2","norway-2","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Educational Measurement","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036982862","display_name":"Jimmy DE LA TORRE","orcid":"https://orcid.org/0000-0002-0893-3863","observed_orcids":["https://orcid.org/0000-0002-0893-3863"]},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimmy De La Torre","raw_affiliation_strings":["Rutgers, the State University of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers, the State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725148","display_name":"Yuan Hong","orcid":"https://orcid.org/0000-0003-4095-4506","observed_orcids":["https://orcid.org/0000-0003-4095-4506"]},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Hong","raw_affiliation_strings":["Rutgers, the State University of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers, the State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079672291","display_name":"Weiling Deng","orcid":"https://orcid.org/0000-0003-1188-3833","observed_orcids":["https://orcid.org/0000-0003-1188-3833"]},"institutions":[{"id":"https://openalex.org/I1341030882","display_name":"Educational Testing Service","ror":"https://ror.org/03b5q4637","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1341030882"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiling Deng","raw_affiliation_strings":["Educational Testing Service"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Educational Testing Service","institution_ids":["https://openalex.org/I1341030882"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3040,"currency":"USD","value_usd":3040},"apc_paid":null,"fwci":4.3558,"has_fulltext":false,"cited_by_count":91,"citation_normalized_percentile":{"value":0.93514603,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"47","issue":"2","first_page":"227","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dina-model","display_name":"DINA model","score":0.9959999918937683},{"id":"https://openalex.org/keywords/cognitive-diagnosis","display_name":"cognitive diagnosis","score":0.7310000061988831},{"id":"https://openalex.org/keywords/item-parameter-estimation","display_name":"item parameter estimation","score":0.9819999933242798},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.953000009059906},{"id":"https://openalex.org/keywords/empirical-bayes","display_name":"empirical Bayes","score":0.8450000286102295},{"id":"https://openalex.org/keywords/prior-distributions","display_name":"prior distributions","score":0.8100000023841858},{"id":"https://openalex.org/keywords/latent-class-structure","display_name":"latent class structure","score":0.8339999914169312},{"id":"https://openalex.org/keywords/sample-size-effects","display_name":"sample size effects","score":0.8410000205039978},{"id":"https://openalex.org/keywords/simulation-study","display_name":"simulation study","score":0.5889999866485596}],"concepts":[{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.7384637594223022},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5445561408996582},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.5286988019943237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44935277104377747},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.44265297055244446},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.43207651376724243},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4226928949356079},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4122593104839325},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4105416536331177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40260106325149536},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33481645584106445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32806193828582764},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.19370397925376892},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.15928494930267334},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1111/j.1745-3984.2010.00110.x","doi":"https://doi.org/10.1111/j.1745-3984.2010.00110.x","is_oa":false,"landing_page_url":"https://doi.org/10.1111/j.1745-3984.2010.00110.x","pdf_url":null,"source":{"id":"https://openalex.org/S30638350","display_name":"Journal of Educational Measurement","issn_l":"0022-0655","issn":["0022-0655","1745-3984"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","erih-plus","ki-jl-2","norway-2","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Educational Measurement","raw_type":"journal-article"},{"id":"pmh:oai:hub.hku.hk:10722/228103","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/228103","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"No poverty","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/1"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W568024311","https://openalex.org/W612243507","https://openalex.org/W1991815732","https://openalex.org/W1998775230","https://openalex.org/W2001771037","https://openalex.org/W2017166317","https://openalex.org/W2037128745","https://openalex.org/W2039625536","https://openalex.org/W2047570292","https://openalex.org/W2054855387","https://openalex.org/W2055276505","https://openalex.org/W2061802017","https://openalex.org/W2083067118","https://openalex.org/W2108611097","https://openalex.org/W2148415528","https://openalex.org/W2160920329","https://openalex.org/W2165814930","https://openalex.org/W2461040647","https://openalex.org/W2467455252","https://openalex.org/W2622131335","https://openalex.org/W2770558397","https://openalex.org/W2989773241","https://openalex.org/W4247424885"],"related_works":["https://openalex.org/W3113382274","https://openalex.org/W2278289755","https://openalex.org/W2751565302","https://openalex.org/W3048695330","https://openalex.org/W6991074590","https://openalex.org/W3004140487","https://openalex.org/W2809642220","https://openalex.org/W3123496600","https://openalex.org/W2554734798","https://openalex.org/W3005168739"],"abstract_inverted_index":{"To":[0],"better":[1,80],"understand":[2],"the":[3,7,17,23,26,37,42,50,54,60,67,113,117,123],"statistical":[4],"properties":[5],"of":[6,19,25,36,64,125,132],"deterministic":[8],"inputs,":[9],"noisy":[10],"\u201cand\u201d":[11],"gate":[12],"cognitive":[13],"diagnosis":[14],"(DINA)":[15],"model,":[16],"impact":[18],"several":[20],"factors":[21],"on":[22],"quality":[24,141],"item":[27,126,142],"parameter":[28,127,136,143],"estimates":[29,81],"and":[30,82,119,134,145],"classification":[31,83,146],"accuracy":[32],"was":[33],"investigated.":[34],"Results":[35],"simulation":[38,107],"study":[39],"indicate":[40],"that":[41,111],"fully":[43],"Bayes":[44,69,88],"approach":[45],"is":[46,137],"most":[47],"accurate":[48],"when":[49,59],"prior":[51,76,92],"distribution":[52,77],"matches":[53],"latent":[55,61],"class":[56],"structure.":[57],"However,":[58],"classes":[62],"are":[63],"indefinite":[65],"structure,":[66],"empirical":[68,87],"method":[70,103],"in":[71],"conjunction":[72],"with":[73,89,139],"an":[74,90],"unstructured":[75,91],"provides":[78],"much":[79],"accuracy.":[84,147],"Moreover,":[85],"using":[86],"does":[93],"not":[94],"lead":[95],"to":[96,120],"extremely":[97],"poor":[98],"results":[99,108],"as":[100],"other":[101],"prior\u2010estimation":[102],"combinations":[104],"do.":[105],"The":[106],"also":[109],"show":[110],"increasing":[112],"sample":[114],"size":[115],"reduces":[116],"variability,":[118],"some":[121],"extent":[122],"bias,":[124],"estimates,":[128],"whereas":[129],"lower":[130],"level":[131],"guessing":[133],"slip":[135],"associated":[138],"higher":[140],"estimation":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}