{"id":"https://openalex.org/W2907497003","doi":"https://doi.org/10.1080/03610918.2018.1532515","title":"A note on converting calibrated parameters of item response theory models","display_name":"A note on converting calibrated parameters of item response theory models","publication_year":2018,"publication_date":"2018-12-30","ids":{"openalex":"https://openalex.org/W2907497003","doi":"https://doi.org/10.1080/03610918.2018.1532515","mag":"2907497003"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1532515","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1532515","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"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/A5068548214","display_name":"David Magis","orcid":null},"institutions":[{"id":"https://openalex.org/I157674565","display_name":"University of Li\u00e8ge","ror":"https://ror.org/00afp2z80","country_code":"BE","type":"education","lineage":["https://openalex.org/I157674565"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"David Magis","raw_affiliation_strings":["Department of Psychology (B32), University of Li\u00e8ge, Li\u00e8ge, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Psychology (B32), University of Li\u00e8ge, Li\u00e8ge, Belgium","institution_ids":["https://openalex.org/I157674565"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068548214"],"corresponding_institution_ids":["https://openalex.org/I157674565"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19549642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":"12","first_page":"3065","last_page":"3079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9997000098228455,"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":0.9997000098228455,"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/T13748","display_name":"Advanced Statistical Modeling Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10959","display_name":"Student Assessment and Feedback","score":0.9555000066757202,"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/equating","display_name":"Equating","score":0.9731276631355286},{"id":"https://openalex.org/keywords/item-response-theory","display_name":"Item response theory","score":0.85172438621521},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.647992730140686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277048945426941},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5080142021179199},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.46916112303733826},{"id":"https://openalex.org/keywords/test-theory","display_name":"Test theory","score":0.41365548968315125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3850218951702118},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3818397521972656},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3505275547504425},{"id":"https://openalex.org/keywords/rasch-model","display_name":"Rasch model","score":0.16510087251663208},{"id":"https://openalex.org/keywords/psychometrics","display_name":"Psychometrics","score":0.12848317623138428}],"concepts":[{"id":"https://openalex.org/C106347477","wikidata":"https://www.wikidata.org/wiki/Q5384228","display_name":"Equating","level":3,"score":0.9731276631355286},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.85172438621521},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.647992730140686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277048945426941},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5080142021179199},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.46916112303733826},{"id":"https://openalex.org/C74143277","wikidata":"https://www.wikidata.org/wiki/Q7705812","display_name":"Test theory","level":3,"score":0.41365548968315125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3850218951702118},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3818397521972656},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3505275547504425},{"id":"https://openalex.org/C101266164","wikidata":"https://www.wikidata.org/wiki/Q2131821","display_name":"Rasch model","level":2,"score":0.16510087251663208},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.12848317623138428},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2018.1532515","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1532515","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:orbi.ulg.ac.be:2268/240788","is_oa":false,"landing_page_url":"https://orbi.uliege.be/handle/2268/240788","pdf_url":null,"source":{"id":"https://openalex.org/S4306400651","display_name":"Open Repository and Bibliography (University of Li\u00e8ge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157674565","host_organization_name":"University of Li\u00e8ge","host_organization_lineage":["https://openalex.org/I157674565"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications in Statistics: Simulation and Computation (2018)","raw_type":"peer reviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321390","display_name":"Fonds De La Recherche Scientifique - FNRS","ror":"https://ror.org/03q83t159"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W28566455","https://openalex.org/W393018166","https://openalex.org/W1523223036","https://openalex.org/W1535520578","https://openalex.org/W1588286827","https://openalex.org/W1648888400","https://openalex.org/W1693178780","https://openalex.org/W1988200247","https://openalex.org/W1998216907","https://openalex.org/W2000067795","https://openalex.org/W2000619651","https://openalex.org/W2017966270","https://openalex.org/W2022276698","https://openalex.org/W2025759625","https://openalex.org/W2030949522","https://openalex.org/W2051039162","https://openalex.org/W2078852258","https://openalex.org/W2084398551","https://openalex.org/W2097563491","https://openalex.org/W2117450242","https://openalex.org/W2160900637","https://openalex.org/W2264175852","https://openalex.org/W2482834658","https://openalex.org/W2505213109","https://openalex.org/W2576534760","https://openalex.org/W2582743722","https://openalex.org/W2592269686","https://openalex.org/W2905030206","https://openalex.org/W3027069850","https://openalex.org/W4210738361","https://openalex.org/W4233026411","https://openalex.org/W4246435226","https://openalex.org/W4249706634","https://openalex.org/W4254972346"],"related_works":["https://openalex.org/W3116551622","https://openalex.org/W2020347620","https://openalex.org/W2061754158","https://openalex.org/W2145553274","https://openalex.org/W4319793901","https://openalex.org/W2013098427","https://openalex.org/W2052107413","https://openalex.org/W3123362644","https://openalex.org/W2587262970","https://openalex.org/W4300981961"],"abstract_inverted_index":{"Many":[0],"item":[1,30,65],"response":[2,84],"theory":[3],"models":[4],"were":[5],"proposed":[6],"to":[7,17,59,67],"estimate":[8],"ability":[9],"levels":[10],"of":[11,20,28,63,71,77,87,92],"test":[12],"takers":[13],"using":[14],"their":[15],"responses":[16],"a":[18,55],"set":[19,62],"polytomously":[21],"scored":[22],"items.":[23],"Recently,":[24],"an":[25],"increased":[26],"number":[27],"calibrated":[29,41,64],"parameters":[31,38,66,70],"have":[32],"become":[33],"publicly":[34],"available.":[35],"Unfortunately,":[36],"these":[37],"are":[39],"often":[40],"under":[42],"some":[43],"model":[44],"that":[45],"is":[46,95],"not":[47],"the":[48,68,78,83,93],"researcher\u2019s":[49],"target":[50,73],"model.":[51,74],"This":[52],"note":[53],"presents":[54],"straightforward":[56],"computational":[57],"method":[58,79,94],"convert":[60],"one":[61],"corresponding":[69],"another":[72],"The":[75,90],"core":[76],"stands":[80],"in":[81],"equating":[82],"category":[85],"probabilities":[86],"both":[88],"models.":[89],"accuracy":[91],"assessed":[96],"through":[97],"several":[98],"examples.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
