{"id":"https://openalex.org/W2004179778","doi":"https://doi.org/10.1177/0049124107301965","title":"Latent Class Analysis With Sampling Weights","display_name":"Latent Class Analysis With Sampling Weights","publication_year":2007,"publication_date":"2007-07-24","ids":{"openalex":"https://openalex.org/W2004179778","doi":"https://doi.org/10.1177/0049124107301965","mag":"2004179778"},"language":"en","primary_location":{"id":"doi:10.1177/0049124107301965","doi":"https://doi.org/10.1177/0049124107301965","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0049124107301965","pdf_url":null,"source":{"id":"https://openalex.org/S9536269","display_name":"Sociological Methods & Research","issn_l":"0049-1241","issn":["0049-1241","1552-8294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","erih-plus","fnege-4","jufo-3","norway-2","poland-200","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":"Sociological Methods &amp; 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/A5032131186","display_name":"Jeroen Kornelis Vermunt","orcid":"https://orcid.org/0000-0001-9053-9330","observed_orcids":["https://orcid.org/0000-0001-9053-9330"]},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jeroen K. Vermunt","raw_affiliation_strings":["Tilburg University, Netherlands,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tilburg University, Netherlands,","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054799768","display_name":"Jay Magidson","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jay Magidson","raw_affiliation_strings":["Statistical Innovations, Inc., Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistical Innovations, Inc., Boston, MA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":1.9138,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.86683417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"87","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9839000105857849,"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":0.9839000105857849,"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/T13141","display_name":"Statistical Methods and Applications","score":0.0038999998942017555,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.002300000051036477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-class-analysis","display_name":"latent class analysis","score":0.996999979019165},{"id":"https://openalex.org/keywords/sampling-weights","display_name":"sampling weights","score":0.9950000047683716},{"id":"https://openalex.org/keywords/maximum-likelihood-estimation","display_name":"maximum likelihood estimation","score":0.8460000157356262},{"id":"https://openalex.org/keywords/log-linear-models","display_name":"log-linear models","score":0.824999988079071},{"id":"https://openalex.org/keywords/weighting-methods","display_name":"weighting schemes","score":0.4909999966621399}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7237634658813477},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.6401017308235168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5564812421798706},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.547045111656189},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5017242431640625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4516441524028778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43967875838279724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1520771086215973},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/0049124107301965","doi":"https://doi.org/10.1177/0049124107301965","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0049124107301965","pdf_url":null,"source":{"id":"https://openalex.org/S9536269","display_name":"Sociological Methods & Research","issn_l":"0049-1241","issn":["0049-1241","1552-8294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","erih-plus","fnege-4","jufo-3","norway-2","poland-200","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":"Sociological Methods &amp; Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:somere:v:36:y:2007:i:1:p:87-111","doi":null,"is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/0049124107301965","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1501315967","https://openalex.org/W1582162015","https://openalex.org/W1966917764","https://openalex.org/W1971447804","https://openalex.org/W1981739204","https://openalex.org/W1998298224","https://openalex.org/W2004748399","https://openalex.org/W2009368860","https://openalex.org/W2058478026","https://openalex.org/W2076983043","https://openalex.org/W2115881827","https://openalex.org/W2124533071","https://openalex.org/W2148237264","https://openalex.org/W2163790854","https://openalex.org/W2312466459","https://openalex.org/W2316241961","https://openalex.org/W2328301182","https://openalex.org/W2329118955","https://openalex.org/W2554987453","https://openalex.org/W2799202302","https://openalex.org/W2940904813","https://openalex.org/W3146372577"],"related_works":["https://openalex.org/W7100035834","https://openalex.org/W7029753972","https://openalex.org/W2164649021","https://openalex.org/W4387799538","https://openalex.org/W1709386078","https://openalex.org/W2801021038","https://openalex.org/W2049988526","https://openalex.org/W7099723094","https://openalex.org/W2018516812","https://openalex.org/W2989858243"],"abstract_inverted_index":{"The":[0,18,93],"authors":[1,94],"illustrate":[2,132],"how":[3],"to":[4,58,77,122,131],"perform":[5],"maximum-likelihood":[6],"estimation":[7],"in":[8,40,137],"latent":[9],"class":[10],"(LC)":[11],"analysis":[12,43],"when":[13],"there":[14],"are":[15,20,129],"sampling":[16,38],"weights.":[17,70],"methods":[19,136],"natural":[21],"extensions":[22],"of":[23,44,51,62,81],"the":[24,41,48,52,55,78,82,102,113],"approaches":[25],"proposed":[26],"by":[27,117],"Clogg":[28],"and":[29,32],"Eliason":[30],"(1987)":[31,34],"Magidson":[33],"for":[35,100,104],"dealing":[36],"with":[37,68,85],"weights":[39],"log-linear":[42,49,65],"frequency":[45],"tables.":[46],"For":[47],"form":[50],"LC":[53,66,83,138],"model,":[54],"approach":[56,72,119],"corresponds":[57],"a":[59],"special":[60],"case":[61],"Haberman's":[63],"(1979)":[64],"model":[67,84],"cell":[69,86],"This":[71],"can":[73,89],"also":[74],"be":[75],"applied":[76],"probability":[79,114],"formulation":[80],"weights,":[87],"which":[88],"accommodate":[90],"many":[91],"indicators.":[92],"propose":[95],"an":[96],"efficient":[97],"estimation-maximization":[98],"algorithm":[99],"estimating":[101],"parameters":[103],"this":[105,118],"formulation.":[106],"A":[107],"small":[108],"simulation":[109],"study":[110],"shows":[111],"that":[112],"estimates":[115],"obtained":[116],"compare":[120],"favorably":[121],"other":[123],"weighting":[124,135],"approaches.":[125],"Several":[126],"empirical":[127],"examples":[128],"provided":[130],"various":[133],"possible":[134],"analysis.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
