{"id":"https://openalex.org/W3091832279","doi":"https://doi.org/10.32614/rj-2020-014","title":"difNLR: Generalized Logistic Regression Models for DIF and DDF Detection","display_name":"difNLR: Generalized Logistic Regression Models for DIF and DDF Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3091832279","doi":"https://doi.org/10.32614/rj-2020-014","mag":"3091832279"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2020-014","doi":"https://doi.org/10.32614/rj-2020-014","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-014","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-014/RJ-2020-014.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/I4402554076","host_organization_name":"R Foundation for Statistical Computing","host_organization_lineage":["https://openalex.org/I4402554076"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.r-project.org/archive/2020/RJ-2020-014/RJ-2020-014.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049219472","display_name":"Ad\u00e9la Hladk\u00e1","orcid":"https://orcid.org/0000-0002-9112-1208","observed_orcids":["https://orcid.org/0000-0002-9112-1208"]},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ad\u00e9la Hladk\u00e1","raw_affiliation_strings":["Department of Probability and Mathematical Statistics , Faculty of Mathematics and Physics , Charles University Sokolovsk\u00e1 83 , Prague , 186 75 Czech Republic","Charles University Mysl\u00edkova 7, Prague, 110 00 Czech Republic","Charles University Sokolovsk\u00e1 83, Prague, 186 75 Czech Republic","Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics,","Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Institute for Research and Development of Education, Faculty of Education,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Probability and Mathematical Statistics , Faculty of Mathematics and Physics , Charles University Sokolovsk\u00e1 83 , Prague , 186 75 Czech Republic","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Charles University Mysl\u00edkova 7, Prague, 110 00 Czech Republic","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Charles University Sokolovsk\u00e1 83, Prague, 186 75 Czech Republic","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics,","institution_ids":["https://openalex.org/I4210155092"]},{"raw_affiliation_string":"Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Institute for Research and Development of Education, Faculty of Education,","institution_ids":["https://openalex.org/I4210155092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050892661","display_name":"Patr\u00edcia Martinkov\u00e1","orcid":"https://orcid.org/0000-0003-4754-8543","observed_orcids":["https://orcid.org/0000-0003-4754-8543"]},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]},{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Patr\u00edcia Martinkov\u00e1","raw_affiliation_strings":["Charles University Mysl\u00edkova 7, Prague, 110 00 Czech Republic","Charles University Sokolovsk\u00e1 83, Prague, 186 75 Czech Republic","Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics,","Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Institute for Research and Development of Education, Faculty of Education,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University Mysl\u00edkova 7, Prague, 110 00 Czech Republic","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Charles University Sokolovsk\u00e1 83, Prague, 186 75 Czech Republic","institution_ids":["https://openalex.org/I21250087"]},{"raw_affiliation_string":"Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics,","institution_ids":["https://openalex.org/I4210155092"]},{"raw_affiliation_string":"Department of Statistical Modelling, Institute of Computer Science of the Czech Academy of Sciences Pod Vod\u00e1renskou v\u011b\u017e\u00ed 271/2, Prague, 182 07 and Institute for Research and Development of Education, Faculty of Education,","institution_ids":["https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7501,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.86081052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"12","issue":"1","first_page":"300","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9945999979972839,"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":0.9945999979972839,"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/T12884","display_name":"Educational Assessment and Pedagogy","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.0003000000142492354,"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/differential-item-functioning","display_name":"differential item functioning","score":1.0},{"id":"https://openalex.org/keywords/item-bias-detection","display_name":"item bias detection","score":0.6420000195503235},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"ordinal data","score":0.8920000195503235},{"id":"https://openalex.org/keywords/nominal-data","display_name":"nominal data","score":0.9929999709129333},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.4950000047683716},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.5009999871253967},{"id":"https://openalex.org/keywords/test-fairness","display_name":"test fairness","score":0.5189999938011169}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8299611806869507},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.547254741191864},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42464661598205566},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41886311769485474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3484775424003601},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33735957741737366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2867542505264282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.32614/rj-2020-014","doi":"https://doi.org/10.32614/rj-2020-014","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-014","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-014/RJ-2020-014.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/I4402554076","host_organization_name":"R Foundation for Statistical Computing","host_organization_lineage":["https://openalex.org/I4402554076"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.unl.edu:r-journal-1173","doi":null,"is_oa":true,"landing_page_url":"https://digitalcommons.unl.edu/r-journal/167","pdf_url":"https://digitalcommons.unl.edu/context/r-journal/article/1173/viewcontent/COMPLIANT_unl_r_journal_1173.pdf","source":{"id":"https://openalex.org/S4306400577","display_name":"Lincoln (University of Nebraska)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114395901","host_organization_name":"University of Nebraska\u2013Lincoln","host_organization_lineage":["https://openalex.org/I114395901"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The R Journal","raw_type":"text"}],"best_oa_location":{"id":"doi:10.32614/rj-2020-014","doi":"https://doi.org/10.32614/rj-2020-014","is_oa":true,"landing_page_url":"https://doi.org/10.32614/rj-2020-014","pdf_url":"https://journal.r-project.org/archive/2020/RJ-2020-014/RJ-2020-014.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/I4402554076","host_organization_name":"R Foundation for Statistical Computing","host_organization_lineage":["https://openalex.org/I4402554076"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","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/W3091832279.pdf","grobid_xml":"https://content.openalex.org/works/W3091832279.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1513618424","https://openalex.org/W1535520578","https://openalex.org/W1693178780","https://openalex.org/W1810028515","https://openalex.org/W1919216659","https://openalex.org/W1933293707","https://openalex.org/W1971095109","https://openalex.org/W1981354818","https://openalex.org/W2037416776","https://openalex.org/W2046915036","https://openalex.org/W2051039162","https://openalex.org/W2083763757","https://openalex.org/W2099019452","https://openalex.org/W2121044470","https://openalex.org/W2127374659","https://openalex.org/W2142635246","https://openalex.org/W2146855196","https://openalex.org/W2148501415","https://openalex.org/W2150000105","https://openalex.org/W2153382200","https://openalex.org/W2480455979","https://openalex.org/W2620837250","https://openalex.org/W2772203947","https://openalex.org/W2914874602","https://openalex.org/W2992428986","https://openalex.org/W4254972346","https://openalex.org/W4292414119","https://openalex.org/W4399496055","https://openalex.org/W4399541748","https://openalex.org/W4399541800","https://openalex.org/W4399573590","https://openalex.org/W4399636070"],"related_works":["https://openalex.org/W7132340191","https://openalex.org/W3181882506","https://openalex.org/W7132458973","https://openalex.org/W7132708465","https://openalex.org/W2037416776","https://openalex.org/W2245289817","https://openalex.org/W2099019452","https://openalex.org/W2135248568","https://openalex.org/W2772203947","https://openalex.org/W7202049853"],"abstract_inverted_index":{"Differential":[0],"item":[1],"functioning":[2,7],"(DIF)":[3],"and":[4,63,70,74,98],"differential":[5],"distractor":[6],"(DDF)":[8],"are":[9],"important":[10],"topics":[11],"in":[12,18,44],"psychometrics,":[13],"pointing":[14],"to":[15,22,32,67,101,113],"potential":[16],"unfairness":[17],"items":[19],"with":[20],"respect":[21],"minorities":[23],"or":[24,61],"different":[25],"social":[26],"groups.Various":[27],"methods":[28,41,66],"have":[29],"been":[30],"proposed":[31],"detect":[33,68],"these":[34],"issues.The":[35],"difNLR":[36,89],"R":[37],"package":[38],"extends":[39],"DIF":[40,69],"currently":[42],"provided":[43],"other":[45],"packages":[46],"by":[47,64],"offering":[48],"approaches":[49],"based":[50],"on":[51],"generalized":[52],"logistic":[53],"regression":[54],"models":[55],"that":[56],"account":[57],"for":[58],"possible":[59],"guessing":[60],"inattention,":[62],"providing":[65],"DDF":[71],"among":[72],"ordinal":[73],"nominal":[75],"data.In":[76],"the":[77,84,88,95,105,115],"current":[78],"paper,":[79],"we":[80,107],"describe":[81],"implementation":[82],"of":[83,87,104],"main":[85],"functions":[86],"package,":[90],"from":[91],"data":[92,111],"generation,":[93],"through":[94],"model":[96],"fitting":[97],"hypothesis":[99],"testing,":[100],"graphical":[102],"representation":[103],"results.Finally,":[106],"provide":[108],"a":[109],"real":[110],"example":[112],"bring":[114],"concepts":[116],"together.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2020-10-15T00:00:00"}
