{"id":"https://openalex.org/W3048455525","doi":"https://doi.org/10.1007/s11634-020-00414-7","title":"SEM-Tree hybrid models in the preferences analysis of the members of Polish households","display_name":"SEM-Tree hybrid models in the preferences analysis of the members of Polish households","publication_year":2020,"publication_date":"2020-08-10","ids":{"openalex":"https://openalex.org/W3048455525","doi":"https://doi.org/10.1007/s11634-020-00414-7","mag":"3048455525"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-020-00414-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-020-00414-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-020-00414-7.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11634-020-00414-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023395754","display_name":"Adam Sagan","orcid":"https://orcid.org/0000-0002-5608-179X"},"institutions":[{"id":"https://openalex.org/I23574469","display_name":"Krakow University of Economics","ror":"https://ror.org/0262te083","country_code":"PL","type":"education","lineage":["https://openalex.org/I23574469"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Adam Sagan","raw_affiliation_strings":["Cracow University of Economics, Rakowicka 27, Cracow, Poland"],"raw_orcid":"https://orcid.org/0000-0002-5608-179X","affiliations":[{"raw_affiliation_string":"Cracow University of Economics, Rakowicka 27, Cracow, Poland","institution_ids":["https://openalex.org/I23574469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061965264","display_name":"Mariusz \u0141apczy\u0144ski","orcid":"https://orcid.org/0000-0002-4508-7264"},"institutions":[{"id":"https://openalex.org/I23574469","display_name":"Krakow University of Economics","ror":"https://ror.org/0262te083","country_code":"PL","type":"education","lineage":["https://openalex.org/I23574469"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mariusz \u0141apczy\u0144ski","raw_affiliation_strings":["Cracow University of Economics, Rakowicka 27, Cracow, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cracow University of Economics, Rakowicka 27, Cracow, Poland","institution_ids":["https://openalex.org/I23574469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023395754"],"corresponding_institution_ids":["https://openalex.org/I23574469"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.5327,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74571698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"4","first_page":"855","last_page":"869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11805","display_name":"Agricultural economics and policies","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11805","display_name":"Agricultural economics and policies","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10446","display_name":"Income, Poverty, and Inequality","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12877","display_name":"Social Issues in Poland","score":0.9265000224113464,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.691797137260437},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5584661960601807},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5535743236541748},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5445561408996582},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5048059225082397},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.48470330238342285},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4667651355266571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44994819164276123},{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"Confirmatory factor analysis","score":0.441225528717041},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4100533723831177},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2790036201477051},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27050960063934326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24198463559150696}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.691797137260437},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5584661960601807},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5535743236541748},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5445561408996582},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5048059225082397},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.48470330238342285},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4667651355266571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44994819164276123},{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.441225528717041},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4100533723831177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2790036201477051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27050960063934326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24198463559150696},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-020-00414-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-020-00414-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-020-00414-7.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:14:y:2020:i:4:d:10.1007_s11634-020-00414-7","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-020-00414-7","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,"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":{"id":"doi:10.1007/s11634-020-00414-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11634-020-00414-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11634-020-00414-7.pdf","source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Data Analysis and Classification","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6400399855","display_name":null,"funder_award_id":"DEC-2011/01/B/HS4/04812","funder_id":"https://openalex.org/F4320322511","funder_display_name":"Narodowe Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322511","display_name":"Narodowe Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048455525.pdf","grobid_xml":"https://content.openalex.org/works/W3048455525.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W853180112","https://openalex.org/W1553588745","https://openalex.org/W1587700009","https://openalex.org/W1594031697","https://openalex.org/W1656762628","https://openalex.org/W1872690438","https://openalex.org/W1965667443","https://openalex.org/W1967441381","https://openalex.org/W1974806455","https://openalex.org/W1981039744","https://openalex.org/W1991254496","https://openalex.org/W2004624112","https://openalex.org/W2045803758","https://openalex.org/W2104476773","https://openalex.org/W2119672929","https://openalex.org/W2127054748","https://openalex.org/W2159082168","https://openalex.org/W2358469224","https://openalex.org/W2407706929","https://openalex.org/W2605038974","https://openalex.org/W2765637225","https://openalex.org/W2765662640","https://openalex.org/W2901449563","https://openalex.org/W2911980033","https://openalex.org/W2939358454","https://openalex.org/W2949322252","https://openalex.org/W3021219720","https://openalex.org/W3085162807","https://openalex.org/W3125326048","https://openalex.org/W3125353256","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4285213959","https://openalex.org/W2385721021","https://openalex.org/W126662069","https://openalex.org/W2904003081","https://openalex.org/W1965085721","https://openalex.org/W2110740376","https://openalex.org/W2509729113","https://openalex.org/W2734236000","https://openalex.org/W2243985845","https://openalex.org/W2363289403"],"abstract_inverted_index":{"Abstract":[0],"The":[1,127],"purpose":[2],"of":[3,11,14,17,34,52,61,76,103,112,118,132,139,147,156,159],"the":[4,9,12,23,30,50,74,77,81,101,109,116,130,137,154,160],"paper":[5],"is":[6],"to":[7,96,107],"identify":[8],"dimensions":[10,46],"strategy":[13,33],"resources":[15,43],"allocation":[16],"Polish":[18],"households":[19],"members":[20],"and":[21,38,88,91,106,122,145,150],"test":[22],"hypothesis":[24],"concerning":[25],"risky":[26],"shift":[27],"effect":[28],"in":[29,40,65,73],"relationship":[31],"between":[32],"family":[35,41],"decision":[36],"making":[37],"trade-off":[39],"scarce":[42],"allocation.":[44],"These":[45],"were":[47],"identified":[48],"on":[49,57,115,142],"basis":[51],"nationwide":[53],"empirical":[54],"data":[55,152],"gathered":[56],"a":[58,133],"representative":[59],"sample":[60],"1020":[62],"respondents":[63],"nested":[64],"410":[66],"households.":[67],"SEM-Tree":[68],"hybrid":[69],"models":[70,85],"are":[71],"used":[72],"analysis":[75],"results,":[78],"which":[79],"combine":[80],"confirmatory":[82],"structural":[83,98,125,143],"equation":[84],"with":[86,120],"exploratory":[87],"predictive":[89],"classification":[90],"regression":[92],"trees.":[93],"This":[94],"allows":[95],"apply":[97],"modeling":[99],"for":[100],"study":[102],"heterogeneous":[104],"populations":[105],"assess":[108],"hierarchical":[110],"impact":[111],"exogenous":[113],"predictors":[114],"identification":[117],"segments":[119],"separate":[121],"unique":[123],"model":[124,134],"parameters.":[126],"approach":[128,135],"combines":[129],"advantages":[131],"(at":[136,153],"stage":[138,155],"constructing":[140],"hypotheses":[141],"relationships":[144],"specifications":[146],"measurement":[148],"models)":[149],"exploration-based":[151],"recursive":[157],"division":[158],"sample).":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}