{"id":"https://openalex.org/W2789864898","doi":"https://doi.org/10.7287/peerj.preprints.26740v1","title":"SAS macros for longitudinal IRT models","display_name":"SAS macros for longitudinal IRT models","publication_year":2018,"publication_date":"2018-03-20","ids":{"openalex":"https://openalex.org/W2789864898","doi":"https://doi.org/10.7287/peerj.preprints.26740v1","mag":"2789864898"},"language":"en","primary_location":{"id":"doi:10.7287/peerj.preprints.26740v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.26740v1","pdf_url":"https://peerj.com/preprints/26740.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://peerj.com/preprints/26740.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071368158","display_name":"Maja Olsbjerg","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Maja Olsbjerg","raw_affiliation_strings":["Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Danmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Danmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086027122","display_name":"Karl Bang Christensen","orcid":"https://orcid.org/0000-0003-4518-5187"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Karl Bang Christensen","raw_affiliation_strings":["Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Danmark"],"raw_orcid":"https://orcid.org/0000-0003-4518-5187","affiliations":[{"raw_affiliation_string":"Department of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Danmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":null,"display_name":"European Rasch Teaching Group (ERTG)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"European Rasch Teaching Group (ERTG)","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071368158"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02204634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polytomous-rasch-model","display_name":"Polytomous Rasch model","score":0.8952896595001221},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.8502053022384644},{"id":"https://openalex.org/keywords/item-response-theory","display_name":"Item response theory","score":0.7246056199073792},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.658845067024231},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.5678067207336426},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5420262813568115},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5299360156059265},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"Longitudinal data","score":0.5286602973937988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010035037994385},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46333563327789307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37914714217185974},{"id":"https://openalex.org/keywords/psychometrics","display_name":"Psychometrics","score":0.34096357226371765},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32286784052848816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2506117820739746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2346910536289215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21692347526550293}],"concepts":[{"id":"https://openalex.org/C207968926","wikidata":"https://www.wikidata.org/wiki/Q7227107","display_name":"Polytomous Rasch model","level":4,"score":0.8952896595001221},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.8502053022384644},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.7246056199073792},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.658845067024231},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.5678067207336426},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5420262813568115},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5299360156059265},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.5286602973937988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010035037994385},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46333563327789307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37914714217185974},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.34096357226371765},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32286784052848816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2506117820739746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2346910536289215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21692347526550293},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7287/peerj.preprints.26740v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.26740v1","pdf_url":"https://peerj.com/preprints/26740.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/8d624a19-648c-42d2-ba1d-45ceae3ce9e1","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/8d624a19-648c-42d2-ba1d-45ceae3ce9e1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Olsbjerg , M & Christensen , K B 2018 , ' SAS macros for longitudinal IRT models ' , PeerJ PrePrints , vol. 6 , e26740v1 . https://doi.org/10.7287/peerj.preprints.26740v1","raw_type":"article"}],"best_oa_location":{"id":"doi:10.7287/peerj.preprints.26740v1","is_oa":true,"landing_page_url":"https://doi.org/10.7287/peerj.preprints.26740v1","pdf_url":"https://peerj.com/preprints/26740.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6100000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2789864898.pdf","grobid_xml":"https://content.openalex.org/works/W2789864898.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1547716543","https://openalex.org/W1586756847","https://openalex.org/W1966576448","https://openalex.org/W1979178563","https://openalex.org/W1982564453","https://openalex.org/W1986660625","https://openalex.org/W1994915449","https://openalex.org/W1996708828","https://openalex.org/W2007010480","https://openalex.org/W2022031020","https://openalex.org/W2023110876","https://openalex.org/W2048409388","https://openalex.org/W2075947959","https://openalex.org/W2077574612","https://openalex.org/W2083989795","https://openalex.org/W2090147078","https://openalex.org/W2093716150","https://openalex.org/W2094213668","https://openalex.org/W2128733617","https://openalex.org/W2133117958","https://openalex.org/W2160900637","https://openalex.org/W2322461341","https://openalex.org/W2341394514","https://openalex.org/W2462802634","https://openalex.org/W2972208639"],"related_works":["https://openalex.org/W2146544833","https://openalex.org/W2110161405","https://openalex.org/W1655920153","https://openalex.org/W4309301126","https://openalex.org/W1992126445","https://openalex.org/W1982160749","https://openalex.org/W2093555683","https://openalex.org/W2586453134","https://openalex.org/W2033724825","https://openalex.org/W4399061799"],"abstract_inverted_index":{"IRT":[0,21,76],"models":[1,22,44,51],"are":[2,8,23,90],"often":[3,38],"applied":[4],"when":[5,27],"observed":[6],"items":[7],"used":[9,17,26,66],"to":[10,93],"measure":[11],"a":[12,58],"unidimensional":[13],"latent":[14,47],"variable.":[15],"Originally":[16],"in":[18,96],"educational":[19],"research,":[20],"now":[24],"widely":[25],"focus":[28],"is":[29],"on":[30],"physical":[31],"functioning":[32],"or":[33,49],"psychological":[34],"well-being.":[35],"Modern":[36],"applications":[37],"need":[39],"more":[40],"general":[41],"models,":[42],"typically":[43],"for":[45,52,67],"multidimensional":[46],"variables":[48],"longitudinal":[50,75],"repeated":[53],"measurements.":[54],"This":[55],"paper":[56],"describes":[57],"collection":[59],"of":[60],"SAS":[61],"macros":[62,79],"that":[63],"can":[64],"be":[65],"fitting":[68],"data":[69],"to,":[70],"simulating":[71],"from,":[72],"and":[73,89,102],"visualizing":[74],"models.":[77],"The":[78],"encompass":[80],"dichotomous":[81],"as":[82,84],"well":[83],"polytomous":[85],"item":[86,97],"response":[87],"formats":[88],"sufficiently":[91],"flexible":[92],"accommodate":[94],"changes":[95],"parameters":[98],"across":[99],"time":[100,109],"points":[101],"local":[103],"dependence":[104],"between":[105],"responses":[106],"at":[107],"different":[108],"points.":[110]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}