{"id":"https://openalex.org/W2530140159","doi":"https://doi.org/10.1007/978-981-10-2341-5_12","title":"Exploratory Factor Analysis","display_name":"Exploratory Factor Analysis","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2530140159","doi":"https://doi.org/10.1007/978-981-10-2341-5_12","mag":"2530140159"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-10-2341-5_12","doi":"https://doi.org/10.1007/978-981-10-2341-5_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-10-2341-5_12","pdf_url":null,"source":{"id":"https://openalex.org/S4306463937","display_name":"Springer eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"ebook platform"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Matrix-Based Introduction to Multivariate Data Analysis","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W2529934114","display_name":"Matrix-Based Introduction to Multivariate Data Analysis"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-981-10-2341-5_12","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018668125","display_name":"Kohei Adachi","orcid":"https://orcid.org/0000-0001-5349-046X","observed_orcids":["https://orcid.org/0000-0001-5349-046X"]},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kohei Adachi","raw_affiliation_strings":["Graduate School of Human Sciences, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Human Sciences, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018668125"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9965999722480774,"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":0.9965999722480774,"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":0.002099999925121665,"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":9.999999747378752e-05,"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/exploratory-factor-analysis","display_name":"exploratory factor analysis","score":1.0},{"id":"https://openalex.org/keywords/factor-analysis","display_name":"factor analysis","score":0.8970000147819519},{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"confirmatory factor analysis","score":0.9359999895095825},{"id":"https://openalex.org/keywords/latent-variables","display_name":"latent variables","score":0.8169999718666077},{"id":"https://openalex.org/keywords/observed-variables","display_name":"observed variables","score":0.703000009059906},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.671999990940094}],"concepts":[{"id":"https://openalex.org/C165957694","wikidata":"https://www.wikidata.org/wiki/Q5421350","display_name":"Exploratory factor analysis","level":3,"score":0.8638547658920288},{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.8030830025672913},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.6167214512825012},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4889043867588043},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.47874587774276733},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2568720579147339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16256532073020935},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.1602655053138733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15794578194618225},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.14781591296195984},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.11592963337898254},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.08690863847732544},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-10-2341-5_12","doi":"https://doi.org/10.1007/978-981-10-2341-5_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-10-2341-5_12","pdf_url":null,"source":{"id":"https://openalex.org/S4306463937","display_name":"Springer eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"ebook platform"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Matrix-Based Introduction to Multivariate Data Analysis","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-10-2341-5_12","doi":"https://doi.org/10.1007/978-981-10-2341-5_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-10-2341-5_12","pdf_url":null,"source":{"id":"https://openalex.org/S4306463937","display_name":"Springer eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"ebook platform"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Matrix-Based Introduction to Multivariate Data Analysis","raw_type":"book-chapter"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3027441697","https://openalex.org/W7097912340","https://openalex.org/W2346747673","https://openalex.org/W7131205288","https://openalex.org/W6888895906","https://openalex.org/W2303383920","https://openalex.org/W4239033167","https://openalex.org/W1681695349","https://openalex.org/W7100443384","https://openalex.org/W7001352119"],"abstract_inverted_index":{"As":[0],"described":[1],"in":[2,46],"Chap.":[3],"10":[4],",":[5],"factor":[6],"analysis":[7],"(FA)":[8],"is":[9,44,62],"classified":[10],"into":[11],"exploratory":[12],"FA":[13,19],"(":[14],"EFA":[15,21,43],")":[16],"and":[17,55,64],"confirmatory":[18],"(CFA).":[20],"refers":[22],"to":[23],"the":[24,41,58,65,71],"procedures":[25],"for":[26,32],"exploring":[27],"factors":[28,39],"underlying":[29],"observed":[30],"variables":[31],"cases":[33],"without":[34],"prior":[35],"knowledge":[36],"of":[37],"what":[38],"explain":[40],"variables.":[42],"introduced":[45],"this":[47],"chapter.":[48],"These":[49],"keywords":[50,66],"were":[51],"added":[52],"by":[53,57],"machine":[54],"not":[56],"authors.":[59],"This":[60],"process":[61],"experimental":[63],"may":[67],"be":[68],"updated":[69],"as":[70],"learning":[72],"algorithm":[73],"improves.":[74]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-10-21T00:00:00"}