{"id":"https://openalex.org/W1978754357","doi":"https://doi.org/10.1080/00273171.2012.658339","title":"Mixture Factor Analysis for Approximating a Nonnormally Distributed Continuous Latent Factor With Continuous and Dichotomous Observed Variables","display_name":"Mixture Factor Analysis for Approximating a Nonnormally Distributed Continuous Latent Factor With Continuous and Dichotomous Observed Variables","publication_year":2012,"publication_date":"2012-03-30","ids":{"openalex":"https://openalex.org/W1978754357","doi":"https://doi.org/10.1080/00273171.2012.658339","mag":"1978754357","pmid":"https://pubmed.ncbi.nlm.nih.gov/26734851","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9990906"},"language":"en","primary_location":{"id":"doi:10.1080/00273171.2012.658339","doi":"https://doi.org/10.1080/00273171.2012.658339","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00273171.2012.658339","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","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9990906","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088797464","display_name":"Melanie M. Wall","orcid":"https://orcid.org/0000-0001-6673-3467","observed_orcids":["https://orcid.org/0000-0001-6673-3467"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Melanie M. Wall","raw_affiliation_strings":["Columbia University","a Departments of Biostatistics and Psychiatry , Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"a Departments of Biostatistics and Psychiatry , Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048213963","display_name":"Jia Guo","orcid":"https://orcid.org/0000-0003-3216-8628","observed_orcids":["https://orcid.org/0000-0003-3216-8628","https://orcid.org/0000-0003-3176-2051"]},"institutions":[{"id":"https://openalex.org/I3018075036","display_name":"Sanofi (France)","ror":"https://ror.org/02n6c9837","country_code":"FR","type":"company","lineage":["https://openalex.org/I3018075036"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jia Guo","raw_affiliation_strings":["Sanofi-Aventis US","b Sanofi-Aventis US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanofi-Aventis US","institution_ids":["https://openalex.org/I3018075036"]},{"raw_affiliation_string":"b Sanofi-Aventis US","institution_ids":["https://openalex.org/I3018075036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007775487","display_name":"Yasuo Amemiya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasuo Amemiya","raw_affiliation_strings":["IBM Thomas J. Watson Research Center","c IBM Thomas J. Watson Research Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"c IBM Thomas J. Watson Research Center","institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088797464"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":5.9304,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95849125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"47","issue":"2","first_page":"276","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9771000146865845,"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":0.9771000146865845,"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":0.012900000438094139,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.004000000189989805,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kurtosis","display_name":"kurtosis","score":0.8740000128746033},{"id":"https://openalex.org/keywords/estimation-bias","display_name":"estimation bias","score":0.6430000066757202},{"id":"https://openalex.org/keywords/estimator-efficiency","display_name":"estimator efficiency","score":0.621999979019165},{"id":"https://openalex.org/keywords/treatment-adherence","display_name":"medication adherence","score":0.6840000152587891},{"id":"https://openalex.org/keywords/cystic-fibrosis","display_name":"cystic fibrosis","score":0.8579999804496765},{"id":"https://openalex.org/keywords/youth","display_name":"youth","score":0.6759999990463257}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7533330321311951},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6919784545898438},{"id":"https://openalex.org/C10879293","wikidata":"https://www.wikidata.org/wiki/Q726474","display_name":"Factor analysis","level":2,"score":0.6667653322219849},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.5891162753105164},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5863220691680908},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5545583367347717},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5418224930763245},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5388192534446716},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5269171595573425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5246325135231018},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43630489706993103},{"id":"https://openalex.org/C156216132","wikidata":"https://www.wikidata.org/wiki/Q17099642","display_name":"Local independence","level":4,"score":0.41224682331085205},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.39264222979545593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15359032154083252},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00273171.2012.658339","doi":"https://doi.org/10.1080/00273171.2012.658339","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00273171.2012.658339","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"},{"id":"pmid:26734851","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26734851","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multivariate behavioral research","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9990906","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9990906","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Multivariate Behav Res","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9990906","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9990906","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Multivariate Behav Res","raw_type":"Text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4278946778","display_name":"Multilevel latent class and social network models for observational adolescent ob","funder_award_id":"R01HD061940","funder_id":"https://openalex.org/F4320337611","funder_display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development"},{"id":"https://openalex.org/G5263496274","display_name":"Multilevel latent class and social network models for observational adolescent ob","funder_award_id":"U01HD061940","funder_id":"https://openalex.org/F4320337611","funder_display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development"}],"funders":[{"id":"https://openalex.org/F4320337611","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W626100886","https://openalex.org/W1579271636","https://openalex.org/W1586756847","https://openalex.org/W1648888400","https://openalex.org/W1924959727","https://openalex.org/W1967456918","https://openalex.org/W1967495697","https://openalex.org/W1973102368","https://openalex.org/W1974134238","https://openalex.org/W1981307074","https://openalex.org/W1987893784","https://openalex.org/W1989148610","https://openalex.org/W1997817781","https://openalex.org/W2001749998","https://openalex.org/W2002278359","https://openalex.org/W2004288406","https://openalex.org/W2005599241","https://openalex.org/W2010182987","https://openalex.org/W2018502278","https://openalex.org/W2020559865","https://openalex.org/W2022306341","https://openalex.org/W2034465608","https://openalex.org/W2038038193","https://openalex.org/W2039076379","https://openalex.org/W2041960457","https://openalex.org/W2043898363","https://openalex.org/W2046257602","https://openalex.org/W2057964179","https://openalex.org/W2059166063","https://openalex.org/W2067089386","https://openalex.org/W2070898270","https://openalex.org/W2072221629","https://openalex.org/W2087479512","https://openalex.org/W2090330784","https://openalex.org/W2090597068","https://openalex.org/W2091797506","https://openalex.org/W2094400652","https://openalex.org/W2099756352","https://openalex.org/W2105652774","https://openalex.org/W2109284646","https://openalex.org/W2111669400","https://openalex.org/W2121297553","https://openalex.org/W2121725240","https://openalex.org/W2130253300","https://openalex.org/W2134032292","https://openalex.org/W2146177007","https://openalex.org/W2161920977","https://openalex.org/W2163775664","https://openalex.org/W2166698530","https://openalex.org/W2167497124","https://openalex.org/W2171460817","https://openalex.org/W2299467264","https://openalex.org/W2793857598","https://openalex.org/W2797746357","https://openalex.org/W3004647199","https://openalex.org/W4213428133","https://openalex.org/W4241635929","https://openalex.org/W4246845213","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2058002659","https://openalex.org/W1985442257","https://openalex.org/W7097087978","https://openalex.org/W2163775664","https://openalex.org/W2483981339","https://openalex.org/W3113381649","https://openalex.org/W6963771820","https://openalex.org/W2911360051","https://openalex.org/W2999826176","https://openalex.org/W4297436140"],"abstract_inverted_index":{"Mixture":[0],"factor":[1,31,39,62,76,103,112,117,145,170],"analysis":[2,32,77,118,146],"is":[3,119,124],"examined":[4],"as":[5,60,69,83],"a":[6,130],"means":[7],"of":[8,19,110,139,156],"flexibly":[9],"estimating":[10],"nonnormally":[11],"distributed":[12],"continuous":[13,21,45,97],"latent":[14,38,61,111,158,169],"factors":[15],"in":[16,153,164,183],"the":[17,74,115,154,165,168,177],"presence":[18,155],"both":[20,100],"and":[22,65,88,90,174,191],"dichotomous":[23,47,50,172],"observed":[24],"variables.":[25],"A":[26],"simulation":[27],"study":[28,131],"compares":[29],"mixture":[30,75,116,144],"with":[33,106,134],"normal":[34,52,150],"maximum":[35],"likelihood":[36],"(ML)":[37],"modeling.":[40],"Different":[41],"results":[42],"emerge":[43],"for":[44],"versus":[46],"outcomes.":[48],"For":[49,96],"outcomes,":[51],"ML":[53,151],"path":[54],"estimates":[55,105],"have":[56],"bias":[57,108],"that":[58],"worsens":[59],"skew/kurtosis":[63],"increases":[64],"does":[66],"not":[67],"diminish":[68],"sample":[70,84,188],"size":[71],"increases,":[72],"whereas":[73],"model":[78],"produces":[79],"nearly":[80],"unbiased":[81],"estimators":[82],"sizes":[85,189],"increase":[86],"(500":[87,190],"greater)":[89],"offers":[91],"near":[92],"nominal":[93],"coverage":[94],"probability.":[95],"outcome":[98],"variables,":[99],"methods":[101],"produce":[102],"loading":[104],"minimal":[107],"regardless":[109],"skew,":[113],"but":[114,160],"more":[120],"efficient.":[121],"The":[122],"method":[123],"demonstrated":[125],"using":[126],"data":[127],"motivated":[128],"by":[129],"on":[132],"youth":[133],"cystic":[135],"fibrosis":[136],"examining":[137],"predictors":[138],"treatment":[140],"adherence.":[141],"In":[142],"summary,":[143],"provides":[147],"improvements":[148,178],"over":[149],"estimation":[152],"skewed/kurtotic":[157],"factors,":[159],"due":[161],"to":[162,171],"variability":[163],"estimator":[166],"relating":[167],"outcomes":[173],"computational":[175],"issues,":[176],"were":[179],"only":[180],"fully":[181],"realized,":[182],"this":[184],"study,":[185],"at":[186],"larger":[187],"greater).":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}