{"id":"https://openalex.org/W2291069072","doi":"https://doi.org/10.1007/s11634-016-0232-3","title":"Item selection by latent class-based methods: an application to nursing home evaluation","display_name":"Item selection by latent class-based methods: an application to nursing home evaluation","publication_year":2016,"publication_date":"2016-01-28","ids":{"openalex":"https://openalex.org/W2291069072","doi":"https://doi.org/10.1007/s11634-016-0232-3","mag":"2291069072"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-016-0232-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-016-0232-3","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054448743","display_name":"Francesco Bartolucci","orcid":"https://orcid.org/0000-0001-7057-1421"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Bartolucci","raw_affiliation_strings":["Department of Economics, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084588572","display_name":"Giorgio E. Montanari","orcid":"https://orcid.org/0000-0001-6019-6605"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giorgio E. Montanari","raw_affiliation_strings":["Department of Political Sciences, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Political Sciences, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039690962","display_name":"Silvia Pandolfi","orcid":"https://orcid.org/0000-0001-6019-8694"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Pandolfi","raw_affiliation_strings":["Department of Economics, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054448743"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.3303,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86651739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":"2","first_page":"245","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.984499990940094,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.984499990940094,"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/T10235","display_name":"Health disparities and outcomes","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"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/T10136","display_name":"Statistical Methods and Inference","score":0.9745000004768372,"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/latent-class-model","display_name":"Latent class model","score":0.8130053877830505},{"id":"https://openalex.org/keywords/polytomous-rasch-model","display_name":"Polytomous Rasch model","score":0.7455914616584778},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7125489115715027},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6021410822868347},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5932056903839111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5876274704933167},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5780439376831055},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5491566061973572},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.448085218667984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43006718158721924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3440641164779663},{"id":"https://openalex.org/keywords/item-response-theory","display_name":"Item response theory","score":0.30050820112228394},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2789057791233063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2279438078403473},{"id":"https://openalex.org/keywords/psychometrics","display_name":"Psychometrics","score":0.11865448951721191}],"concepts":[{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.8130053877830505},{"id":"https://openalex.org/C207968926","wikidata":"https://www.wikidata.org/wiki/Q7227107","display_name":"Polytomous Rasch model","level":4,"score":0.7455914616584778},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7125489115715027},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6021410822868347},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5932056903839111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5876274704933167},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5780439376831055},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5491566061973572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.448085218667984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43006718158721924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3440641164779663},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.30050820112228394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2789057791233063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2279438078403473},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.11865448951721191},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-016-0232-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-016-0232-3","pdf_url":null,"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":null,"license_id":null,"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:10:y:2016:i:2:d:10.1007_s11634-016-0232-3","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-016-0232-3","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":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326085","display_name":"Regione Umbria","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W42670528","https://openalex.org/W1964476636","https://openalex.org/W1964887264","https://openalex.org/W1966129222","https://openalex.org/W1984526963","https://openalex.org/W1989985915","https://openalex.org/W1995986069","https://openalex.org/W2004748399","https://openalex.org/W2006490730","https://openalex.org/W2011832962","https://openalex.org/W2018614199","https://openalex.org/W2026183164","https://openalex.org/W2029131477","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2060429664","https://openalex.org/W2061037671","https://openalex.org/W2064452544","https://openalex.org/W2068310465","https://openalex.org/W2086699924","https://openalex.org/W2100358124","https://openalex.org/W2115881827","https://openalex.org/W2152456824","https://openalex.org/W2162454853","https://openalex.org/W2168175751","https://openalex.org/W2171770994","https://openalex.org/W2480680997","https://openalex.org/W2554987453","https://openalex.org/W3102269171","https://openalex.org/W4211177544","https://openalex.org/W4231764430","https://openalex.org/W4254972346"],"related_works":["https://openalex.org/W2146544833","https://openalex.org/W2110161405","https://openalex.org/W1655920153","https://openalex.org/W4309301126","https://openalex.org/W1992126445","https://openalex.org/W1982160749","https://openalex.org/W2093555683","https://openalex.org/W1529431427","https://openalex.org/W2773103787","https://openalex.org/W2123066743"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
