{"id":"https://openalex.org/W4396587407","doi":"https://doi.org/10.1080/03610918.2024.2349166","title":"Improvement of the GFI and AGFI indexes in structural equation models by the covariance between repetitions in the observed variables","display_name":"Improvement of the GFI and AGFI indexes in structural equation models by the covariance between repetitions in the observed variables","publication_year":2024,"publication_date":"2024-05-01","ids":{"openalex":"https://openalex.org/W4396587407","doi":"https://doi.org/10.1080/03610918.2024.2349166"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2349166","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2349166","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"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/A5004392333","display_name":"Mariana Resende","orcid":"https://orcid.org/0000-0001-8814-4997"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. Resende","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal de Lavras","Departamento de Estat\u00edstica, Universidade Federal de Lavras, Lavras, Brasil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Lavras","institution_ids":["https://openalex.org/I1315085146"]},{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Lavras, Lavras, Brasil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072638031","display_name":"Marcelo \u00c2ngelo Cirillo","orcid":"https://orcid.org/0000-0003-2026-6802"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M. A. Cirillo","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal de Lavras","Departamento de Estat\u00edstica, Universidade Federal de Lavras, Lavras, Brasil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Lavras","institution_ids":["https://openalex.org/I1315085146"]},{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Lavras, Lavras, Brasil","institution_ids":["https://openalex.org/I1315085146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072638031"],"corresponding_institution_ids":["https://openalex.org/I1315085146"],"apc_list":null,"apc_paid":null,"fwci":1.0297,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76832376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"54","issue":"9","first_page":"3343","last_page":"3357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9896000027656555,"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":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.9081451296806335},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.8345755934715271},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6059996485710144},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49743059277534485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46863651275634766}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.9081451296806335},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.8345755934715271},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6059996485710144},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49743059277534485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46863651275634766}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2024.2349166","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2349166","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G6599996793","display_name":null,"funder_award_id":"304939/2021-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G8209476450","display_name":null,"funder_award_id":"140242/2019-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1484864026","https://openalex.org/W1522830946","https://openalex.org/W1912065300","https://openalex.org/W1969813535","https://openalex.org/W1984322889","https://openalex.org/W1989653554","https://openalex.org/W1994263489","https://openalex.org/W2020661211","https://openalex.org/W2054168714","https://openalex.org/W2072787586","https://openalex.org/W2089871805","https://openalex.org/W2098705272","https://openalex.org/W2142168194","https://openalex.org/W2146434748","https://openalex.org/W2179707639","https://openalex.org/W2207020174","https://openalex.org/W2325366541","https://openalex.org/W2582743722","https://openalex.org/W2803952380","https://openalex.org/W2956085540","https://openalex.org/W3023421855","https://openalex.org/W6765581792","https://openalex.org/W6776149365"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2024934382","https://openalex.org/W2303173273","https://openalex.org/W2513767888","https://openalex.org/W1979597421","https://openalex.org/W3147308590","https://openalex.org/W1528049813","https://openalex.org/W2007980826","https://openalex.org/W1968285868","https://openalex.org/W2634874339"],"abstract_inverted_index":{"Although":[0],"there":[1,19],"are":[2,20,70,118],"methods":[3],"that":[4,61,82],"relate":[5],"a":[6,59,77,164],"set":[7],"of":[8,15,37,79,86,93,130,140,142,157,163],"repeated":[9,40],"observed":[10,41,66,144],"variables":[11,145],"to":[12,47,72,102,136,154,174,177,180],"the":[13,24,29,52,65,80,84,91,98,103,107,124,131,138,143,155,186],"fit":[14],"structural":[16],"equation":[17],"models,":[18],"some":[21],"deficiencies":[22],"in":[23,28,51,64,106],"quality-of-fit":[25],"indexes":[26,56,104,122,135],"proposed":[27],"literature,":[30],"as":[31,76,88,90,148],"they":[32],"do":[33],"not":[34],"include":[35],"characteristics":[36],"data":[38],"with":[39,120,166],"variables.":[42,67],"Thus,":[43],"this":[44,74,96],"study":[45],"aims":[46],"propose":[48],"an":[49],"improvement":[50,99,129],"GFI":[53,132],"and":[54,110,113,116,133,159,168],"AGFI":[55,134],"by":[57],"incorporating":[58],"correction":[60],"considers":[62],"repetitions":[63,141,179],"Several":[68],"designs":[69],"considered":[71],"validate":[73],"proposal":[75],"function":[78],"criteria":[81],"determine":[83],"quality":[85],"fit,":[87],"well":[89],"presence":[92,156],"outliers.":[94],"In":[95],"context,":[97],"is":[100,172],"given":[101],"built":[105],"least":[108],"square":[109],"likelihood":[111],"approaches,":[112],"their":[114],"advantages":[115],"disadvantages":[117],"compared":[119],"conventional":[121],"using":[123],"Monte":[125],"Carlo":[126],"simulation.":[127],"The":[128],"incorporate":[137],"effect":[139],"was":[146],"promising,":[147],"it":[149],"presented":[150],"robustness":[151],"properties":[152],"relative":[153],"outliers":[158],"showed":[160],"diagnostic":[161],"evidence":[162],"model":[165],"good":[167],"poor":[169],"fit.":[170],"It":[171],"recommended":[173],"use":[175],"up":[176],"four":[178],"avoid":[181],"numerical":[182],"problems":[183],"when":[184],"computing":[185],"index":[187],"estimates.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
