{"id":"https://openalex.org/W2139338900","doi":"https://doi.org/10.1177/01466216000241003","title":"Likelihood-Based Item-Fit Indices for Dichotomous Item Response Theory Models","display_name":"Likelihood-Based Item-Fit Indices for Dichotomous Item Response Theory Models","publication_year":2000,"publication_date":"2000-03-01","ids":{"openalex":"https://openalex.org/W2139338900","doi":"https://doi.org/10.1177/01466216000241003","mag":"2139338900"},"language":"en","primary_location":{"id":"doi:10.1177/01466216000241003","doi":"https://doi.org/10.1177/01466216000241003","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01466216000241003","pdf_url":null,"source":{"id":"https://openalex.org/S94663699","display_name":"Applied Psychological Measurement","issn_l":"0146-6216","issn":["0146-6216","1552-3497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","erih-plus","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Psychological 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/A5113621908","display_name":"Maria Orlando","orcid":"https://orcid.org/0009-0005-5489-9714","observed_orcids":["https://orcid.org/0009-0005-5489-9714"]},"institutions":[{"id":"https://openalex.org/I1309849503","display_name":"RAND Corporation","ror":"https://ror.org/00f2z7n96","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1309849503"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maria Orlando","raw_affiliation_strings":["RAND Corp","Rand Corp, Santa Monica, CA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RAND Corp","institution_ids":["https://openalex.org/I1309849503"]},{"raw_affiliation_string":"Rand Corp, Santa Monica, CA, US","institution_ids":["https://openalex.org/I1309849503"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053637744","display_name":"David Thissen","orcid":"https://orcid.org/0000-0002-2917-4675","observed_orcids":["https://orcid.org/0000-0002-2917-4675"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Thissen","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113621908"],"corresponding_institution_ids":["https://openalex.org/I1309849503"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":11.4905,"has_fulltext":false,"cited_by_count":684,"citation_normalized_percentile":{"value":0.98595654,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"50","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9994999766349792,"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":0.9994999766349792,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12884","display_name":"Educational Assessment and Pedagogy","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"goodness of fit","score":0.6660000085830688},{"id":"https://openalex.org/keywords/pearson-chi-square-statistic","display_name":"Pearson chi-square statistic","score":0.722000002861023},{"id":"https://openalex.org/keywords/likelihood-ratio-statistic","display_name":"likelihood ratio statistic","score":0.9190000295639038},{"id":"https://openalex.org/keywords/model-misspecification","display_name":"model misspecification","score":0.9190000295639038},{"id":"https://openalex.org/keywords/type-i-error","display_name":"type I error","score":0.7369999885559082},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.906000018119812},{"id":"https://openalex.org/keywords/test-length","display_name":"test length","score":0.8500000238418579}],"concepts":[{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.8218215703964233},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7760775089263916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7221438884735107},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.7024309635162354},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.6938555240631104},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4530687630176544},{"id":"https://openalex.org/C103463560","wikidata":"https://www.wikidata.org/wiki/Q4456449","display_name":"Score test","level":3,"score":0.4145641326904297},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.41141244769096375},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4038965404033661},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.27770477533340454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.12182331085205078},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01466216000241003","doi":"https://doi.org/10.1177/01466216000241003","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01466216000241003","pdf_url":null,"source":{"id":"https://openalex.org/S94663699","display_name":"Applied Psychological Measurement","issn_l":"0146-6216","issn":["0146-6216","1552-3497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","erih-plus","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Psychological Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1535520578","https://openalex.org/W1588286827","https://openalex.org/W1605548433","https://openalex.org/W1882993898","https://openalex.org/W1985040287","https://openalex.org/W1992126445","https://openalex.org/W1992339117","https://openalex.org/W1993045303","https://openalex.org/W2017410258","https://openalex.org/W2017966270","https://openalex.org/W2018913979","https://openalex.org/W2050627483","https://openalex.org/W2051652856","https://openalex.org/W2061843307","https://openalex.org/W2078852258","https://openalex.org/W2084797070","https://openalex.org/W2086802698","https://openalex.org/W2087619236","https://openalex.org/W2095342230","https://openalex.org/W2105004025","https://openalex.org/W2127374659","https://openalex.org/W2132892763","https://openalex.org/W2505213109","https://openalex.org/W2999660727","https://openalex.org/W4239783220","https://openalex.org/W4294841944"],"related_works":["https://openalex.org/W2035412483","https://openalex.org/W2185086299","https://openalex.org/W2108469657","https://openalex.org/W2088678091","https://openalex.org/W1966961449","https://openalex.org/W7096636743","https://openalex.org/W2114984773","https://openalex.org/W2791610028","https://openalex.org/W2118724479","https://openalex.org/W4294323300"],"abstract_inverted_index":{"New":[0],"goodness-of-fit":[1],"indices":[2,13,81],"are":[3,14],"introduced":[4],"for":[5,39,44,181],"dichotomous":[6],"item":[7],"response":[8],"theory":[9],"(IRT)":[10],"models.":[11],"These":[12],"based":[15],"on":[16,188],"the":[17,24,34,60,106,131,152,189],"likelihoods":[18],"of":[19,33,50,138,173,191],"number-correct":[20,46],"scores":[21],"derived":[22],"from":[23],"IRT":[25],"model,":[26],"and":[27,36,41,59,76,92,108,113,134,164],"they":[28],"provide":[29],"a":[30,73],"direct":[31],"comparison":[32],"modeled":[35],"observed":[37],"frequencies":[38],"correct":[40],"incorrect":[42],"responses":[43],"each":[45],"score.":[47],"The":[48,99,171],"behavior":[49],"Pearson\u2019s":[51],"X":[52,56,90,120,162,175],"2":[53,57,64,68,91,97,121,148,163,169,176],"(":[54,65,88],"S-":[55,66,119,146,174],")":[58,69],"likelihood":[61],"ratio":[62],"G":[63,67,96,147,168],"was":[70],"assessed":[71],"in":[72,86,104],"simulation":[74],"study":[75],"compared":[77],"with":[78,124,142],"two":[79],"fit":[80],"similar":[82,180],"to":[83,130,150,178],"those":[84],"currently":[85],"use":[87],"Q1-":[89],"Q":[93,159,165],"1":[94,160,166],"-":[95,161,167],").":[98],"simulations":[100],"included":[101],"three":[102,114],"conditions":[103,115],"which":[105],"simulating":[107],"fitting":[109],"models":[110],"were":[111],"identical":[112],"involving":[116],"model":[117,192],"misspecification.":[118,193],"performed":[122],"well,":[123],"Type":[125],"I":[126],"error":[127],"rates":[128],"close":[129],"expected":[132],".05":[133],".01":[135],"levels.":[136],"Performance":[137],"this":[139],"index":[140],"improved":[141],"increased":[143],"test":[144,183],"length.":[145],"tended":[149],"reject":[151],"null":[153],"hypothesis":[154],"too":[155],"often,":[156],"as":[157],"did":[158],".":[170],"power":[172],"appeared":[177],"be":[179],"all":[182],"lengths,":[184],"but":[185],"varied":[186],"depending":[187],"type":[190]},"counts_by_year":[{"year":2026,"cited_by_count":42},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":45},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":53},{"year":2019,"cited_by_count":46},{"year":2018,"cited_by_count":44},{"year":2017,"cited_by_count":43},{"year":2016,"cited_by_count":36},{"year":2015,"cited_by_count":25},{"year":2014,"cited_by_count":30},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":20}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}