{"id":"https://openalex.org/W2634874339","doi":"https://doi.org/10.14400/jdc.2015.13.10.121","title":"A Tutorial on Covariance-based Structural Equation Modeling using R: focused on \"lavaan\" Package","display_name":"A Tutorial on Covariance-based Structural Equation Modeling using R: focused on \"lavaan\" Package","publication_year":2015,"publication_date":"2015-10-28","ids":{"openalex":"https://openalex.org/W2634874339","doi":"https://doi.org/10.14400/jdc.2015.13.10.121","mag":"2634874339"},"language":"en","primary_location":{"id":"doi:10.14400/jdc.2015.13.10.121","doi":"https://doi.org/10.14400/jdc.2015.13.10.121","is_oa":true,"landing_page_url":"https://doi.org/10.14400/jdc.2015.13.10.121","pdf_url":"http://koreascience.or.kr:80/article/JAKO201533678768835.pdf","source":{"id":"https://openalex.org/S2913258372","display_name":"Journal of Digital Convergence","issn_l":"1738-1916","issn":["1738-1916","1975-0722"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322696517","host_organization_name":"The Korea Society of Digital Policy and Management","host_organization_lineage":["https://openalex.org/P4322696517"],"host_organization_lineage_names":["The Korea Society of Digital Policy and Management"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Digital Convergence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://koreascience.or.kr:80/article/JAKO201533678768835.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047507902","display_name":"Cheolho Yoon","orcid":"https://orcid.org/0000-0003-3315-5941","observed_orcids":["https://orcid.org/0000-0003-3315-5941"]},"institutions":[{"id":"https://openalex.org/I177023625","display_name":"Hansei University","ror":"https://ror.org/01bxsr356","country_code":"KR","type":"education","lineage":["https://openalex.org/I177023625"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheol-Ho Yoon","raw_affiliation_strings":["Dept. of e-Business , Hansei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of e-Business , Hansei University","institution_ids":["https://openalex.org/I177023625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049836811","display_name":"Kwangdon Choi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I11893660","display_name":"Mokpo National University","ror":"https://ror.org/00v81k483","country_code":"KR","type":"education","lineage":["https://openalex.org/I11893660"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Don Choi","raw_affiliation_strings":["Dept. of Business Administration , Mokpo NationalUniversity"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Business Administration , Mokpo NationalUniversity","institution_ids":["https://openalex.org/I11893660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"13","issue":"10","first_page":"121","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9204000234603882,"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":0.9204000234603882,"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/T13398","display_name":"Data Analysis with R","score":0.040300000458955765,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.009100000374019146,"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/covariance-based-structural-equation-modeling","display_name":"covariance-based structural equation modeling","score":0.9950000047683716},{"id":"https://openalex.org/keywords/r-software","display_name":"R software","score":0.8270000219345093},{"id":"https://openalex.org/keywords/statistical-software-tutorial","display_name":"statistical software tutorial","score":0.44600000977516174}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.9451271295547485},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.8367537260055542},{"id":"https://openalex.org/C118006245","wikidata":"https://www.wikidata.org/wiki/Q6792079","display_name":"Mat\u00e9rn covariance function","level":5,"score":0.5576368570327759},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.5536273717880249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512596070766449},{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.49925827980041504},{"id":"https://openalex.org/C148893098","wikidata":"https://www.wikidata.org/wiki/Q7295778","display_name":"Rational quadratic covariance function","level":5,"score":0.4839616119861603},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3252301812171936},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.2716783285140991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27000758051872253},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18568041920661926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1647951602935791}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14400/jdc.2015.13.10.121","doi":"https://doi.org/10.14400/jdc.2015.13.10.121","is_oa":true,"landing_page_url":"https://doi.org/10.14400/jdc.2015.13.10.121","pdf_url":"http://koreascience.or.kr:80/article/JAKO201533678768835.pdf","source":{"id":"https://openalex.org/S2913258372","display_name":"Journal of Digital Convergence","issn_l":"1738-1916","issn":["1738-1916","1975-0722"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322696517","host_organization_name":"The Korea Society of Digital Policy and Management","host_organization_lineage":["https://openalex.org/P4322696517"],"host_organization_lineage_names":["The Korea Society of Digital Policy and Management"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Digital Convergence","raw_type":"journal-article"},{"id":"mag:3080639680","doi":null,"is_oa":false,"landing_page_url":"https://www.earticle.net/Article/A256419","pdf_url":null,"source":{"id":"https://openalex.org/S2913258372","display_name":"Journal of Digital Convergence","issn_l":"1738-1916","issn":["1738-1916","1975-0722"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322696517","host_organization_name":"The Korea Society of Digital Policy and Management","host_organization_lineage":["https://openalex.org/P4322696517"],"host_organization_lineage_names":["The Korea Society of Digital Policy and Management"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Digital Convergence","raw_type":null}],"best_oa_location":{"id":"doi:10.14400/jdc.2015.13.10.121","doi":"https://doi.org/10.14400/jdc.2015.13.10.121","is_oa":true,"landing_page_url":"https://doi.org/10.14400/jdc.2015.13.10.121","pdf_url":"http://koreascience.or.kr:80/article/JAKO201533678768835.pdf","source":{"id":"https://openalex.org/S2913258372","display_name":"Journal of Digital Convergence","issn_l":"1738-1916","issn":["1738-1916","1975-0722"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322696517","host_organization_name":"The Korea Society of Digital Policy and Management","host_organization_lineage":["https://openalex.org/P4322696517"],"host_organization_lineage_names":["The Korea Society of Digital Policy and Management"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Digital Convergence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2634874339.pdf","grobid_xml":"https://content.openalex.org/works/W2634874339.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W83525556","https://openalex.org/W1527741802","https://openalex.org/W2018201949","https://openalex.org/W2065332217","https://openalex.org/W2091031656","https://openalex.org/W2098405376","https://openalex.org/W2119681300","https://openalex.org/W2122912498","https://openalex.org/W2157480092","https://openalex.org/W2163297822","https://openalex.org/W2897123429","https://openalex.org/W3122877168","https://openalex.org/W4235678817","https://openalex.org/W4243667233"],"related_works":["https://openalex.org/W3080639680","https://openalex.org/W2998493055","https://openalex.org/W3096412443","https://openalex.org/W7167287546","https://openalex.org/W1572032983","https://openalex.org/W72202162","https://openalex.org/W2974782262","https://openalex.org/W4229849134","https://openalex.org/W2997944365","https://openalex.org/W7111883518"],"abstract_inverted_index":{"\ubcf8":[0,13,45,59],"\ud29c\ud1a0\ub9ac\uc5bc\uc740":[1,60],"R\uc744":[2,50,81],"\uc774\uc6a9\ud558\uc5ec":[3,37],"\uacf5\ubd84\uc0b0":[4,20,30,52,61,76,84],"\uae30\ubc18\uc758":[5,21,31,53,62,77,85],"\uad6c\uc870\ubc29\uc815\uc2dd\ubaa8\ub378\ub9c1\uc744":[6,22,32,63],"\uc218\ud589\ud558\ub294":[7],"\ubc29\ubc95\uc744":[8],"\uc81c\uc2dc\ud558\uace0":[9],"\uc788\ub2e4.":[10],"\uc774\ub97c":[11],"\uc704\ud574":[12],"\ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294":[14,46],"\uae30\uc874":[15],"\uc5f0\uad6c\ub4e4\uc5d0":[16],"\ub300\ud55c":[17],"\ub9ac\ubdf0\ub97c":[18],"\ud1b5\ud574":[19],"\uc704\ud55c":[23,98],"\uae30\uc900\ub4e4\uc744":[24],"\uc815\uc758\ud558\uace0,":[25],"\ud558\ub098\uc758":[26],"\uc608\uc2dc":[27,39],"\uc5f0\uad6c\ubaa8\ud615\uc744":[28,67],"\uc81c\uc2dc\ud558\uc5ec":[29],"\uc9c0\uc6d0\ud558\ub294":[33],"R":[34,155,175,178,235],"\ud328\ud0a4\uc9c0\uc778":[35],"\"lavaan\"\uc744":[36],"\uc774":[38],"\ubaa8\ud615\uc744":[40],"\ubd84\uc11d\ud558\ub294":[41],"\uac83\uc744":[42],"\ubcf4\uc5ec\uc900\ub2e4.":[43],"\uacb0\uacfc\ubb3c\ub85c":[44],"\uc608\uc2dc\ubaa8\ud615\uc744":[47],"\ub300\uc0c1\uc73c\ub85c":[48],"\ud55c":[49],"\uc774\uc6a9\ud55c":[51,82],"\uad6c\uc870\ubc29\uc815\uc2dd\ubaa8\ub378\ub9c1":[54,86],"\uae30\ubc95\uacfc":[55],"\uc2e4\uc2b5":[56],"\uc2a4\ud06c\ub9bd\ud2b8\uac00":[57],"\uc81c\uc2dc\ub418\uc5c8\ub2e4.":[58],"\ucc98\uc74c":[64],"\uc811\ud558\ub294":[65],"\uc5f0\uad6c\uc790\ub4e4\uc5d0\uac8c\ub294":[66,80],"\uad6c\uc870\ubc29\uc815\uc2dd":[68],"\ubaa8\ub378\ub9c1\uc73c\ub85c":[69],"\ubd84\uc11d\ud558\ub294\ub370":[70],"\uc720\uc6a9\ud55c":[71],"\uac00\uc774\ub4dc\uac00":[72],"\ub420":[73],"\uac83\uc774\uba70,":[74],"\uc774\ubbf8":[75],"\uad6c\uc870\ubc29\uc815\uc2dd\ubaa8\ub378\ub9c1\uc5d0":[78],"\uc775\uc219\ud55c":[79],"\uc0c8\ub85c\uc6b4":[83],"\ubd84\uc11d\uae30\ubc95":[87],"\uc81c\uc2dc\ub97c":[88],"\ud1b5\ud558\uc5ec":[89],"R\uc774\ub77c\ub294":[90],"\ud1b5\ud569\ub41c":[91],"\ud1b5\uacc4":[92],"\uc18c\ud504\ud2b8\uc6e8\uc5b4":[93],"\uc6b4\uc601\ud658\uacbd\uc5d0\uc11c":[94],"\uc2ec\ub3c4":[95],"\uc788\ub294":[96],"\uc5f0\uad6c\ub97c":[97],"\uae30\ubc18":[99],"\uc9c0\uc2dd\uc744":[100],"\uc81c\uacf5\ud560":[101],"\uac83\uc774\ub2e4.":[102],"This":[103,189],"tutorial":[104,123,190],"presents":[105],"an":[106,147],"approach":[107],"to":[108,141,194],"perform":[109],"the":[110,117,122,125,128,143,150,154,158,174,177,181,187,196,199,206,211,220,227,238,245,249],"covariance":[111,129,159,200,212,228,250],"based":[112,130,160,201,213,229,251],"structural":[113,131,161,169,202,214,230,252],"equation":[114,132,162,170,203,215,231,253],"modeling":[115,133,171,204,216,232],"using":[116,149,173,234],"R.":[118],"For":[119],"this":[120,165],"purpose,":[121],"defines":[124],"criteria":[126],"for":[127,205,223,244],"by":[134],"reviewing":[135],"previous":[136],"studies,":[137],"and":[138,176,217],"shows":[139],"how":[140],"analyze":[142],"research":[144],"model":[145,183],"with":[146,248],"example":[148,182],"\"lavaan\"":[151],"which":[152,236],"is":[153,237],"package":[156],"supporting":[157],"modeling.":[163,254],"In":[164],"tutorial,":[166],"a":[167],"covariance-based":[168],"technique":[172,233],"scripts":[179],"targeting":[180],"were":[184],"proposed":[185],"as":[186],"results.":[188],"will":[191,218],"be":[192],"useful":[193],"start":[195],"study":[197],"of":[198],"researchers":[207,246],"who":[208],"first":[209],"encounter":[210],"provide":[219],"knowledge":[221],"base":[222],"in-depth":[224],"analysis":[225],"through":[226],"integrated":[239],"statistical":[240],"software":[241],"operating":[242],"environment":[243],"familiar":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-06-30T00:00:00"}
