{"id":"https://openalex.org/W2000815957","doi":"https://doi.org/10.1177/01466219922031400","title":"Probit Latent Class Analysis with Dichotomous or Ordered Category Measures: Conditional Independence/Dependence Models","display_name":"Probit Latent Class Analysis with Dichotomous or Ordered Category Measures: Conditional Independence/Dependence Models","publication_year":1999,"publication_date":"1999-12-01","ids":{"openalex":"https://openalex.org/W2000815957","doi":"https://doi.org/10.1177/01466219922031400","mag":"2000815957"},"language":"en","primary_location":{"id":"doi:10.1177/01466219922031400","doi":"https://doi.org/10.1177/01466219922031400","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01466219922031400","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/A5062508861","display_name":"John S. Uebersax","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"John S. Uebersax","raw_affiliation_strings":["Flagstaff, Arizona "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flagstaff, Arizona ","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5062508861"],"corresponding_institution_ids":[],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":2.3593,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.8784869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"283","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9984999895095825,"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":0.9984999895095825,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.00039999998989515007,"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/T12884","display_name":"Educational Assessment and Pedagogy","score":9.999999747378752e-05,"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/conditional-dependence","display_name":"conditional dependence","score":0.5839999914169312},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"conditional independence","score":0.6269999742507935},{"id":"https://openalex.org/keywords/multivariate-normal-mixtures","display_name":"multivariate normal mixtures","score":0.6069999933242798},{"id":"https://openalex.org/keywords/latent-trait-models","display_name":"latent trait models","score":0.7900000214576721},{"id":"https://openalex.org/keywords/mixed-rasch-model","display_name":"mixed Rasch model","score":0.7730000019073486},{"id":"https://openalex.org/keywords/latent-class-analysis","display_name":"latent class analysis","score":0.3630000054836273}],"concepts":[{"id":"https://openalex.org/C156216132","wikidata":"https://www.wikidata.org/wiki/Q17099642","display_name":"Local independence","level":4,"score":0.9380722045898438},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.9200592637062073},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.7266237735748291},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.6608288884162903},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6503319144248962},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.6481292843818665},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.5570945739746094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.48762694001197815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4783289432525635},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.4644679129123688},{"id":"https://openalex.org/C101266164","wikidata":"https://www.wikidata.org/wiki/Q2131821","display_name":"Rasch model","level":2,"score":0.4582286775112152},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.4536218047142029},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.14854925870895386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.13454928994178772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1170741617679596}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01466219922031400","doi":"https://doi.org/10.1177/01466219922031400","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01466219922031400","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W138052739","https://openalex.org/W318983953","https://openalex.org/W1966502880","https://openalex.org/W1973102368","https://openalex.org/W1974475215","https://openalex.org/W1974870522","https://openalex.org/W1975397338","https://openalex.org/W1978456583","https://openalex.org/W1981112540","https://openalex.org/W1981903823","https://openalex.org/W1983515300","https://openalex.org/W1986776467","https://openalex.org/W1989621150","https://openalex.org/W1990027096","https://openalex.org/W1990125213","https://openalex.org/W1991114278","https://openalex.org/W2000619651","https://openalex.org/W2004748399","https://openalex.org/W2006220912","https://openalex.org/W2012932057","https://openalex.org/W2017966270","https://openalex.org/W2022306341","https://openalex.org/W2040536528","https://openalex.org/W2053325424","https://openalex.org/W2062828949","https://openalex.org/W2064319894","https://openalex.org/W2066387895","https://openalex.org/W2082576445","https://openalex.org/W2084398551","https://openalex.org/W2115881827","https://openalex.org/W2118570622","https://openalex.org/W2125192468","https://openalex.org/W2127374659","https://openalex.org/W2130019680","https://openalex.org/W2147205032","https://openalex.org/W2147590631","https://openalex.org/W2554987453","https://openalex.org/W2618338767","https://openalex.org/W2911870211","https://openalex.org/W2981264952","https://openalex.org/W3146174752","https://openalex.org/W3157264244"],"related_works":["https://openalex.org/W3003022785","https://openalex.org/W99471992","https://openalex.org/W3047503714","https://openalex.org/W2014229366","https://openalex.org/W2004128484","https://openalex.org/W1471855","https://openalex.org/W7099257076","https://openalex.org/W3048029324","https://openalex.org/W3081354747","https://openalex.org/W2892695324"],"abstract_inverted_index":{"Flexible":[0],"methods":[1],"that":[2],"relax":[3],"restrictive":[4],"conditional":[5,41,71],"independence":[6,72],"assumptions":[7,73],"of":[8,49,70,82,91,94,112,142],"latent":[9,23,27,39,53,59,66,95,100,103,115],"classanalysis":[10],"(LCA)":[11],"are":[12,20,30],"described.":[13],"Dichotomous":[14],"and":[15,85,102,128],"ordered":[16],"category":[17],"manifest":[18],"variables":[19,29,55],"viewed":[21,108],"asdiscretized":[22],"continuous":[24,28,54,58],"variables.":[25],"The":[26,68,118],"assumed":[31],"to":[32,76],"have":[33],"a":[34,38,57],"mixtureofmultivariate-normals":[35],"distribution.":[36],"Within":[37],"class,":[40,99],"dependence":[42],"is":[43,135],"modeled":[44],"as":[45,109],"the":[46,113,121,143],"mutual":[47],"association":[48],"all":[50],"or":[51],"some":[52],"with":[56],"trait":[60,116],"(or":[61],"in":[62],"special":[63,110],"cases,":[64],"multiple":[65],"traits).":[67],"relaxation":[69],"allows":[74],"LCA":[75],"better":[77],"model":[78,125,134],"natural":[79],"taxa.":[80],"Comparisons":[81],"specific":[83,92],"restricted":[84],"unrestricted":[86],"models":[87],"permit":[88],"statistical":[89],"tests":[90],"aspects":[93],"taxonic":[96],"structure.":[97],"Latent":[98],"trait,":[101],"distribution":[104],"analysis":[105],"can":[106],"be":[107],"cases":[111],"mixed":[114,130],"model.":[117,145],"relationship":[119],"between":[120],"multivariate":[122],"probit":[123],"mixture":[124],"proposed":[126,144],"here":[127],"Rost\u2019s":[129],"Rasch":[131],"(1990,":[132],"1991)":[133],"discussed.":[136],"Two":[137],"studies":[138],"illustrate":[139],"different":[140],"uses":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}
