{"id":"https://openalex.org/W2613123342","doi":"https://doi.org/10.32614/rj-2016-038","title":"Two-Tier Latent Class IRT Models in R","display_name":"Two-Tier Latent Class IRT Models in R","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2613123342","doi":"https://doi.org/10.32614/rj-2016-038","mag":"2613123342"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2016-038","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2016-038","pdf_url":"https://journal.r-project.org/archive/2016/RJ-2016-038/RJ-2016-038.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://journal.r-project.org/archive/2016/RJ-2016-038/RJ-2016-038.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065620308","display_name":"Silvia Bacci","orcid":"https://orcid.org/0000-0001-8097-3870"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silvia Bacci","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5054448743","display_name":"Francesco Bartolucci","orcid":"https://orcid.org/0000-0001-7057-1421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Bartolucci","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.4071,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98316093,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"2","first_page":"139","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.45719999074935913,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.45719999074935913,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.42329999804496765,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6685726642608643},{"id":"https://openalex.org/keywords/latent-class-model","display_name":"Latent class model","score":0.548568606376648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4530177414417267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27757683396339417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12307760119438171}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6685726642608643},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.548568606376648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4530177414417267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27757683396339417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12307760119438171}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.32614/rj-2016-038","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2016-038","pdf_url":"https://journal.r-project.org/archive/2016/RJ-2016-038/RJ-2016-038.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.unl.edu:r-journal-1542","is_oa":true,"landing_page_url":"https://digitalcommons.unl.edu/r-journal/496","pdf_url":"https://digitalcommons.unl.edu/context/r-journal/article/1542/viewcontent/RJ_2016_038.pdf","source":{"id":"https://openalex.org/S4306400577","display_name":"Lincoln (University of Nebraska)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114395901","host_organization_name":"University of Nebraska\u2013Lincoln","host_organization_lineage":["https://openalex.org/I114395901"],"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":"The R Journal","raw_type":"text"},{"id":"pmh:oai:flore.unifi.it:2158/1151190","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/1151190","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.32614/rj-2016-038","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2016-038","pdf_url":"https://journal.r-project.org/archive/2016/RJ-2016-038/RJ-2016-038.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2613123342.pdf","grobid_xml":"https://content.openalex.org/works/W2613123342.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W184352910","https://openalex.org/W1519667195","https://openalex.org/W1523223036","https://openalex.org/W1547716543","https://openalex.org/W1588286827","https://openalex.org/W1966576448","https://openalex.org/W1967614286","https://openalex.org/W1984112996","https://openalex.org/W1993245107","https://openalex.org/W1996724645","https://openalex.org/W2000619651","https://openalex.org/W2005093659","https://openalex.org/W2016628185","https://openalex.org/W2025929695","https://openalex.org/W2040455338","https://openalex.org/W2051039162","https://openalex.org/W2058815839","https://openalex.org/W2059863951","https://openalex.org/W2070446808","https://openalex.org/W2079817125","https://openalex.org/W2097456882","https://openalex.org/W2098855947","https://openalex.org/W2104170278","https://openalex.org/W2109349396","https://openalex.org/W2115265604","https://openalex.org/W2115881827","https://openalex.org/W2122259487","https://openalex.org/W2127374659","https://openalex.org/W2128759000","https://openalex.org/W2148415528","https://openalex.org/W2162929365","https://openalex.org/W2168175751","https://openalex.org/W2171770994","https://openalex.org/W2554987453","https://openalex.org/W2612070780","https://openalex.org/W2626678763","https://openalex.org/W2797587201","https://openalex.org/W2883153957","https://openalex.org/W4233160357","https://openalex.org/W4233677141","https://openalex.org/W4246435226","https://openalex.org/W4247250584","https://openalex.org/W4252386822","https://openalex.org/W4254972346","https://openalex.org/W4399514002","https://openalex.org/W4399551330","https://openalex.org/W6654751087","https://openalex.org/W6676868243","https://openalex.org/W6679102514"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"In":[0,42,89],"analyzing":[1],"data":[2,137],"deriving":[3],"from":[4],"the":[5,31,36,81,102,123,143],"administration":[6],"of":[7,13,38,50,117],"a":[8,11,21,48,93,147],"questionnaire":[9],"to":[10,24,72,84,98,145],"group":[12],"individuals,":[14],"Item":[15],"Response":[16],"Theory":[17],"(IRT)":[18],"models":[19,69,118],"provide":[20],"flexible":[22],"framework":[23],"account":[25],"for":[26],"several":[27],"aspects":[28],"involved":[29],"in":[30,55,101,130],"response":[32],"process,":[33],"such":[34],"as":[35],"existence":[37],"multiple":[39],"latent":[40,66,77,112],"traits.":[41,113],"this":[43,131],"paper,":[44],"we":[45,91],"focus":[46],"on":[47,136],"class":[49,116],"semi-parametric":[51],"multidimensional":[52,95],"IRT":[53],"models,":[54,104],"which":[56],"these":[57,68],"traits":[58],"are":[59],"represented":[60],"through":[61,122],"one":[62,109],"or":[63,110],"more":[64],"discrete":[65],"variables;":[67],"allow":[70],"us":[71],"cluster":[73],"individuals":[74],"into":[75],"homogeneous":[76],"classes":[78],"and,":[79],"at":[80],"same":[82],"time,":[83],"properly":[85],"study":[86],"item":[87,107],"characteristics.":[88],"particular,":[90],"follow":[92],"within-item":[94],"formulation":[96],"similar":[97],"that":[99],"adopted":[100],"two-tier":[103],"with":[105,133],"each":[106],"measuring":[108],"two":[111],"The":[114],"proposed":[115],"may":[119],"be":[120],"estimated":[121],"package":[124],"MLCIRTwithin,":[125],"whose":[126],"functioning":[127],"is":[128],"illustrated":[129],"paper":[132],"examples":[134],"based":[135],"about":[138,142],"quality-of-life":[139],"measurement":[140],"and":[141],"propensity":[144],"commit":[146],"crime.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
