{"id":"https://openalex.org/W2263760963","doi":"https://doi.org/10.1007/978-3-319-01595-8_42","title":"Sensitivity Analyses for the Mixed Coefficients Multinomial Logit Model","display_name":"Sensitivity Analyses for the Mixed Coefficients Multinomial Logit Model","publication_year":2013,"publication_date":"2013-10-10","ids":{"openalex":"https://openalex.org/W2263760963","doi":"https://doi.org/10.1007/978-3-319-01595-8_42","mag":"2263760963"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-01595-8_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-01595-8_42","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},"type":"book-chapter","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/A5069030952","display_name":"Daniel Kasper","orcid":"https://orcid.org/0000-0002-2804-1256"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Kasper","raw_affiliation_strings":["Chair,\n        Chair,\n        Chair,\n        Methods in Empirical Educational Research, TUM School of Education, and Centre for International Student Assessment (ZIB), Technische Universit\u00e4t M\u00fcnchen, Arcisstrasse 21, 80333, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Chair,\n        Chair,\n        Chair,\n        Methods in Empirical Educational Research, TUM School of Education, and Centre for International Student Assessment (ZIB), Technische Universit\u00e4t M\u00fcnchen, Arcisstrasse 21, 80333, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025566009","display_name":"Ali \u00dcnl\u00fc","orcid":"https://orcid.org/0000-0002-6941-5074"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ali \u00dcnl\u00fc","raw_affiliation_strings":["Chair,\n        Chair,\n        Chair,\n        Methods in Empirical Educational Research, TUM School of Education, and Centre for International Student Assessment (ZIB), Technische Universit\u00e4t M\u00fcnchen, Arcisstrasse 21, 80333, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Chair,\n        Chair,\n        Chair,\n        Methods in Empirical Educational Research, TUM School of Education, and Centre for International Student Assessment (ZIB), Technische Universit\u00e4t M\u00fcnchen, Arcisstrasse 21, 80333, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044540651","display_name":"Bernhard Gschrey","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Gschrey","raw_affiliation_strings":["Chair,\n        Chair,\n        Chair,\n        Methods in Empirical Educational Research, TUM School of Education, and Centre for International Student Assessment (ZIB), Technische Universit\u00e4t M\u00fcnchen, Arcisstrasse 21, 80333, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Chair,\n        Chair,\n        Chair,\n        Methods in Empirical Educational Research, TUM School of Education, and Centre for International Student Assessment (ZIB), Technische Universit\u00e4t M\u00fcnchen, Arcisstrasse 21, 80333, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069030952"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.9437,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86239534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"389","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9955999851226807,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9836999773979187,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9833999872207642,"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/rasch-model","display_name":"Rasch model","score":0.8291045427322388},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.6388775110244751},{"id":"https://openalex.org/keywords/goodness-of-fit","display_name":"Goodness of fit","score":0.6322757005691528},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6021202802658081},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5692452192306519},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5459815263748169},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5133044123649597},{"id":"https://openalex.org/keywords/polytomous-rasch-model","display_name":"Polytomous Rasch model","score":0.4870488941669464},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.4483566880226135},{"id":"https://openalex.org/keywords/item-response-theory","display_name":"Item response theory","score":0.3686012029647827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34512513875961304},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1981552541255951},{"id":"https://openalex.org/keywords/psychometrics","display_name":"Psychometrics","score":0.18204692006111145},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11008843779563904}],"concepts":[{"id":"https://openalex.org/C101266164","wikidata":"https://www.wikidata.org/wiki/Q2131821","display_name":"Rasch model","level":2,"score":0.8291045427322388},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.6388775110244751},{"id":"https://openalex.org/C132480984","wikidata":"https://www.wikidata.org/wiki/Q2034239","display_name":"Goodness of fit","level":2,"score":0.6322757005691528},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6021202802658081},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5692452192306519},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5459815263748169},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5133044123649597},{"id":"https://openalex.org/C207968926","wikidata":"https://www.wikidata.org/wiki/Q7227107","display_name":"Polytomous Rasch model","level":4,"score":0.4870488941669464},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.4483566880226135},{"id":"https://openalex.org/C19875794","wikidata":"https://www.wikidata.org/wiki/Q1207340","display_name":"Item response theory","level":3,"score":0.3686012029647827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34512513875961304},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1981552541255951},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.18204692006111145},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11008843779563904}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-01595-8_42","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-01595-8_42","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W184573185","https://openalex.org/W306109848","https://openalex.org/W598119496","https://openalex.org/W1484874644","https://openalex.org/W1501740630","https://openalex.org/W1550443206","https://openalex.org/W1919216911","https://openalex.org/W1988703391","https://openalex.org/W1993997587","https://openalex.org/W2014370213","https://openalex.org/W2044758663","https://openalex.org/W2062471560","https://openalex.org/W2083899888","https://openalex.org/W2096391232","https://openalex.org/W2097295325","https://openalex.org/W2102252264","https://openalex.org/W2130558130","https://openalex.org/W2131043860","https://openalex.org/W2175893074","https://openalex.org/W2480680997","https://openalex.org/W2877923312","https://openalex.org/W4206488967","https://openalex.org/W4300187280"],"related_works":["https://openalex.org/W2061842794","https://openalex.org/W318267788","https://openalex.org/W2908949829","https://openalex.org/W28769788","https://openalex.org/W3181463822","https://openalex.org/W2017469866","https://openalex.org/W2414557966","https://openalex.org/W2618347784","https://openalex.org/W293111241","https://openalex.org/W2263760963"],"abstract_inverted_index":null,"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
