{"id":"https://openalex.org/W2943497741","doi":"https://doi.org/10.1145/3290607.3310432","title":"The Continued Prevalence of Dichotomous Inferences at CHI","display_name":"The Continued Prevalence of Dichotomous Inferences at CHI","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2943497741","doi":"https://doi.org/10.1145/3290607.3310432","mag":"2943497741"},"language":"en","primary_location":{"id":"doi:10.1145/3290607.3310432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290607.3310432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-01980268/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087889244","display_name":"Lonni Besan\u00e7on","orcid":"https://orcid.org/0000-0002-7207-1276"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lonni Besan\u00e7on","raw_affiliation_strings":["Link\u00f6ping University, Norrk\u00f6ping, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link\u00f6ping University, Norrk\u00f6ping, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032305401","display_name":"Pierre Dragicevic","orcid":"https://orcid.org/0000-0002-1854-5899"},"institutions":[{"id":"https://openalex.org/I4210126360","display_name":"Centre Inria de Saclay","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Dragicevic","raw_affiliation_strings":["Inria, Saclay, France","Analysis and Visualization"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, Saclay, France","institution_ids":["https://openalex.org/I4210126360"]},{"raw_affiliation_string":"Analysis and Visualization","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6482,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97173145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T13398","display_name":"Data Analysis with R","score":0.9453999996185303,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.689624547958374},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.6645035147666931},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.6130508184432983},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5626876950263977},{"id":"https://openalex.org/keywords/significance-testing","display_name":"Significance testing","score":0.48029062151908875},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.47825518250465393},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.475768506526947},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4715571403503418},{"id":"https://openalex.org/keywords/statistical-evidence","display_name":"Statistical evidence","score":0.47127172350883484},{"id":"https://openalex.org/keywords/statistical-significance","display_name":"Statistical significance","score":0.4643763601779938},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.4461268484592438},{"id":"https://openalex.org/keywords/alternative-hypothesis","display_name":"Alternative hypothesis","score":0.43097907304763794},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.43043187260627747},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.42085132002830505},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41275250911712646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31549787521362305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2368774116039276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2092393934726715},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.14105412364006042},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.132828950881958},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.131315678358078}],"concepts":[{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.689624547958374},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.6645035147666931},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.6130508184432983},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5626876950263977},{"id":"https://openalex.org/C2984474657","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Significance testing","level":2,"score":0.48029062151908875},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.47825518250465393},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.475768506526947},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4715571403503418},{"id":"https://openalex.org/C2993259228","wikidata":"https://www.wikidata.org/wiki/Q3320364","display_name":"Statistical evidence","level":3,"score":0.47127172350883484},{"id":"https://openalex.org/C65409693","wikidata":"https://www.wikidata.org/wiki/Q425265","display_name":"Statistical significance","level":2,"score":0.4643763601779938},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.4461268484592438},{"id":"https://openalex.org/C120577422","wikidata":"https://www.wikidata.org/wiki/Q843558","display_name":"Alternative hypothesis","level":3,"score":0.43097907304763794},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.43043187260627747},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.42085132002830505},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41275250911712646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31549787521362305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2368774116039276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2092393934726715},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.14105412364006042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.132828950881958},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.131315678358078}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3290607.3310432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290607.3310432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01980268v4","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01980268","pdf_url":"https://inria.hal.science/hal-01980268/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://chi2019.acm.org","raw_type":"Conference papers"},{"id":"pmh:oai:share.osf.io:fb4a9e43-e71e-494c-b56c-3f5dfb40b641","is_oa":true,"landing_page_url":"https://osf.io/wufve","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":null,"raw_type":"Project"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01980268v4","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01980268","pdf_url":"https://inria.hal.science/hal-01980268/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://chi2019.acm.org","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943497741.pdf","grobid_xml":"https://content.openalex.org/works/W2943497741.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W322826253","https://openalex.org/W1594964691","https://openalex.org/W1636536540","https://openalex.org/W1942025757","https://openalex.org/W1948497384","https://openalex.org/W1964063574","https://openalex.org/W2003402428","https://openalex.org/W2011854777","https://openalex.org/W2085341005","https://openalex.org/W2089286873","https://openalex.org/W2120312320","https://openalex.org/W2127875809","https://openalex.org/W2130663341","https://openalex.org/W2159785166","https://openalex.org/W2170386142","https://openalex.org/W2404411786","https://openalex.org/W2407300725","https://openalex.org/W2416272719","https://openalex.org/W2597679156","https://openalex.org/W2610297457","https://openalex.org/W2736848882","https://openalex.org/W2748283632","https://openalex.org/W2765781497","https://openalex.org/W2801371430","https://openalex.org/W2807758254","https://openalex.org/W2919176916","https://openalex.org/W3124625789","https://openalex.org/W4240809722"],"related_works":["https://openalex.org/W4388319862","https://openalex.org/W2128955952","https://openalex.org/W3013502713","https://openalex.org/W1268952385","https://openalex.org/W2780304698","https://openalex.org/W1995992573","https://openalex.org/W4243715673","https://openalex.org/W4256004903","https://openalex.org/W4246375873","https://openalex.org/W3195377381"],"abstract_inverted_index":{"Dichotomous":[0],"inference":[1],"is":[2,14],"the":[3,46,75],"classification":[4],"of":[5,38,49,71],"statistical":[6,50],"evidence":[7,51],"as":[8],"either":[9],"sufficient":[10],"or":[11],"insufficient.":[12],"It":[13],"most":[15],"commonly":[16],"done":[17],"through":[18],"null":[19],"hypothesis":[20],"significance":[21],"testing":[22],"(NHST).":[23],"Although":[24],"predominant,":[25],"dichotomous":[26,55],"inferences":[27],"have":[28,40,63,82],"proven":[29],"to":[30,44,53,59],"cause":[31],"countless":[32],"problems.":[33],"Thus,":[34],"an":[35],"increasing":[36],"number":[37],"methodologists":[39],"been":[41],"urging":[42],"researchers":[43],"recognize":[45],"continuous":[47],"nature":[48],"and":[52],"ban":[54],"inferences.":[56],"We":[57],"wanted":[58],"see":[60],"whether":[61],"they":[62,81],"had":[64],"any":[65],"influence":[66],"on":[67],"CHI.":[68],"Our":[69],"analysis":[70],"CHI":[72],"proceedings":[73],"from":[74],"past":[76],"nine":[77],"years":[78],"suggests":[79],"that":[80],"not.":[83]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}