{"id":"https://openalex.org/W1993423458","doi":"https://doi.org/10.1207/s15327906mbr2701_8","title":"Latent Class Models for Stage-Sequential Dynamic Latent Variables","display_name":"Latent Class Models for Stage-Sequential Dynamic Latent Variables","publication_year":1992,"publication_date":"1992-01-01","ids":{"openalex":"https://openalex.org/W1993423458","doi":"https://doi.org/10.1207/s15327906mbr2701_8","mag":"1993423458"},"language":"en","primary_location":{"id":"doi:10.1207/s15327906mbr2701_8","doi":"https://doi.org/10.1207/s15327906mbr2701_8","is_oa":false,"landing_page_url":"https://doi.org/10.1207/s15327906mbr2701_8","pdf_url":null,"source":{"id":"https://openalex.org/S64250036","display_name":"Multivariate Behavioral Research","issn_l":"0027-3171","issn":["0027-3171","1532-7906"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multivariate Behavioral Research","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/A5056202927","display_name":"Linda M. Collins","orcid":"https://orcid.org/0000-0003-4282-8722","observed_orcids":["https://orcid.org/0000-0003-4282-8722"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linda M. Collins","raw_affiliation_strings":["U Southern California, J. P. Guilford Lab of Quantitative Psychology, Los Angeles, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U Southern California, J. P. Guilford Lab of Quantitative Psychology, Los Angeles, US","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087942022","display_name":"Stuart E. Wugalter","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stuart E. Wugalter","raw_affiliation_strings":["University of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":3.8488,"has_fulltext":false,"cited_by_count":369,"citation_normalized_percentile":{"value":0.93037975,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"27","issue":"1","first_page":"131","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9872999787330627,"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":0.9872999787330627,"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":0.008799999952316284,"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/T13283","display_name":"Mental Health Research Topics","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-transition-analysis","display_name":"latent transition analysis","score":0.9279999732971191},{"id":"https://openalex.org/keywords/latent-class-models","display_name":"latent class models","score":0.8230000138282776},{"id":"https://openalex.org/keywords/latent-markov-models","display_name":"latent Markov models","score":0.9459999799728394},{"id":"https://openalex.org/keywords/sparse-contingency-tables","display_name":"sparse contingency tables","score":0.7799999713897705},{"id":"https://openalex.org/keywords/multiple-indicators","display_name":"multiple indicators","score":0.6990000009536743},{"id":"https://openalex.org/keywords/parameter-recovery","display_name":"parameter recovery","score":0.7850000262260437},{"id":"https://openalex.org/keywords/standard-errors","display_name":"standard errors","score":0.7919999957084656},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"longitudinal data","score":0.593999981880188}],"concepts":[{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.8906581997871399},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.7853085994720459},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.6916478872299194},{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.6839554905891418},{"id":"https://openalex.org/C156216132","wikidata":"https://www.wikidata.org/wiki/Q17099642","display_name":"Local independence","level":4,"score":0.6410830020904541},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.5480567812919617},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.5323605537414551},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5287717580795288},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48667389154434204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.48073744773864746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4624154567718506},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43162304162979126},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.42897331714630127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41416609287261963},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4107322692871094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2547276020050049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21077200770378113},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.14164996147155762}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1207/s15327906mbr2701_8","doi":"https://doi.org/10.1207/s15327906mbr2701_8","is_oa":false,"landing_page_url":"https://doi.org/10.1207/s15327906mbr2701_8","pdf_url":null,"source":{"id":"https://openalex.org/S64250036","display_name":"Multivariate Behavioral Research","issn_l":"0027-3171","issn":["0027-3171","1532-7906"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multivariate Behavioral Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W71608092","https://openalex.org/W1730015549","https://openalex.org/W1922709871","https://openalex.org/W1978573497","https://openalex.org/W1984083811","https://openalex.org/W1991936755","https://openalex.org/W2002374079","https://openalex.org/W2009368860","https://openalex.org/W2020585427","https://openalex.org/W2035359092","https://openalex.org/W2049633694","https://openalex.org/W2053325424","https://openalex.org/W2074762272","https://openalex.org/W2078977693","https://openalex.org/W2081153054","https://openalex.org/W2083475405","https://openalex.org/W2089294513","https://openalex.org/W2115881827","https://openalex.org/W2475870587","https://openalex.org/W2501073340","https://openalex.org/W2994846642","https://openalex.org/W4231840877","https://openalex.org/W4237377395","https://openalex.org/W4285719527","https://openalex.org/W6669607496"],"related_works":["https://openalex.org/W3127614364","https://openalex.org/W2058036308","https://openalex.org/W6983475315","https://openalex.org/W2149531245","https://openalex.org/W2303783972","https://openalex.org/W1097624299","https://openalex.org/W4285494292","https://openalex.org/W2061056459","https://openalex.org/W3128747449","https://openalex.org/W3208141134"],"abstract_inverted_index":{"Stage-sequential":[0],"dynamic":[1],"latent":[2,15,29,35,44,54],"variables":[3,45],"are":[4,81],"of":[5,28,49,136,156,159],"interest":[6],"in":[7,25,58,74,91,95,116,148],"many":[8],"longitudinal":[9],"studies.":[10],"Measurement":[11],"theory":[12],"for":[13],"these":[14],"variables,":[16],"called":[17],"Latent":[18],"Transition":[19],"Analysis":[20],"(LTA),":[21],"can":[22],"be":[23],"found":[24],"recent":[26],"generalizations":[27],"class":[30,55],"theory.":[31],"LTA":[32,157],"expands":[33],"the":[34,47,111,130,134,140],"Markov":[36],"model":[37,79],"to":[38,41,65,76],"allow":[39],"applications":[40],"more":[42],"complex":[43,53],"and":[46,86],"use":[48],"multiple":[50],"indicators.":[51],"Because":[52],"models":[56],"result":[57,90],"sparse":[59,97,152],"contingency":[60],"tables,":[61],"that":[62,102,126],"may":[63],"lead":[64],"poor":[66],"parameter":[67,103],"estimation,":[68],"a":[69],"simulation":[70,123],"study":[71],"was":[72,105],"conducted":[73],"order":[75],"determine":[77],"whether":[78,87],"parameters":[80],"recovered":[82],"adequately":[83],"by":[84],"LTA,":[85],"additional":[88],"indicators":[89,138,143],"better":[92],"measurement":[93],"or":[94],"impossibly":[96],"tables.":[98,153],"The":[99,122],"results":[100],"indicated":[101,125],"recovery":[104],"satisfactory":[106],"overall,":[107],"although":[108],"as":[109],"expected":[110],"standard":[112,145],"errors":[113],"were":[114],"large":[115],"some":[117],"conditions":[118,131,149],"with":[119],"few":[120],"subjects.":[121],"also":[124],"at":[127],"least":[128],"within":[129],"examined":[132],"here,":[133],"benefits":[135],"adding":[137],"outweigh":[139],"costs.":[141],"Additional":[142],"improved":[144],"errors,":[146],"even":[147],"producing":[150],"extremely":[151],"An":[154],"example":[155],"analysis":[158],"empirical":[160],"data":[161],"on":[162],"math":[163],"skill":[164],"development":[165],"is":[166],"presented.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":20}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}