{"id":"https://openalex.org/W3179827454","doi":"https://doi.org/10.1145/3531146.3533121","title":"Best vs. All: Equity and Accuracy of Standardized Test Score Reporting","display_name":"Best vs. All: Equity and Accuracy of Standardized Test Score Reporting","publication_year":2022,"publication_date":"2022-06-20","ids":{"openalex":"https://openalex.org/W3179827454","doi":"https://doi.org/10.1145/3531146.3533121","mag":"3179827454"},"language":"en","primary_location":{"id":"doi:10.1145/3531146.3533121","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531146.3533121","pdf_url":null,"source":{"id":"https://openalex.org/S4363608463","display_name":"2022 ACM Conference on Fairness, Accountability, and Transparency","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-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/A5083179847","display_name":"Mingzi Niu","orcid":"https://orcid.org/0009-0000-5750-0864"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mingzi Niu","raw_affiliation_strings":["Rice University, USA"],"affiliations":[{"raw_affiliation_string":"Rice University, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103555404","display_name":"Sampath Kannan","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sampath Kannan","raw_affiliation_strings":["University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, USA","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057693522","display_name":"Aaron Roth","orcid":"https://orcid.org/0000-0002-0586-0515"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Roth","raw_affiliation_strings":["University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, USA","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010335625","display_name":"Rakesh Vohra","orcid":"https://orcid.org/0000-0003-1049-0827"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakesh Vohra","raw_affiliation_strings":["University of Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, USA","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083179847"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.515,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50455276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9505000114440918,"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/T11182","display_name":"Auction Theory and Applications","score":0.9505000114440918,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9169999957084656,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/standardized-test","display_name":"Standardized test","score":0.7201588153839111},{"id":"https://openalex.org/keywords/equity","display_name":"Equity (law)","score":0.6475239992141724},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5990595817565918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579404354095459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38521498441696167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36537420749664307},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.35120633244514465},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3479909598827362},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3348926901817322},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32841500639915466},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20580047369003296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18844923377037048},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07363671064376831}],"concepts":[{"id":"https://openalex.org/C203151758","wikidata":"https://www.wikidata.org/wiki/Q3244907","display_name":"Standardized test","level":2,"score":0.7201588153839111},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.6475239992141724},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5990595817565918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579404354095459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38521498441696167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36537420749664307},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.35120633244514465},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3479909598827362},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3348926901817322},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32841500639915466},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20580047369003296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18844923377037048},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07363671064376831},{"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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3531146.3533121","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531146.3533121","pdf_url":null,"source":{"id":"https://openalex.org/S4363608463","display_name":"2022 ACM Conference on Fairness, Accountability, and Transparency","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2086406824","https://openalex.org/W2130301414","https://openalex.org/W2139139595","https://openalex.org/W2324139585","https://openalex.org/W2773444500","https://openalex.org/W2888078780","https://openalex.org/W2888421747","https://openalex.org/W2889169527","https://openalex.org/W2889813851","https://openalex.org/W3006822506","https://openalex.org/W3040880402","https://openalex.org/W3102162267","https://openalex.org/W3135667590","https://openalex.org/W4288617757"],"related_works":["https://openalex.org/W641782856","https://openalex.org/W2961085424","https://openalex.org/W1531019546","https://openalex.org/W4224009465","https://openalex.org/W24443521","https://openalex.org/W2471323292","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W1967279810","https://openalex.org/W2804354919"],"abstract_inverted_index":{"We":[0],"study":[1],"a":[2,22,35,42],"game":[3],"theoretic":[4],"model":[5],"of":[6,14,45],"standardized":[7,38],"testing":[8],"for":[9],"college":[10,23],"admissions.":[11],"Students":[12,33],"are":[13],"two":[15],"types;":[16],"High":[17,30],"and":[18],"Low.":[19],"There":[20],"is":[21],"that":[24],"would":[25],"like":[26],"to":[27],"admit":[28],"the":[29],"type":[31],"students.":[32],"take":[34],"potentially":[36],"costly":[37],"exam":[39],"which":[40],"provides":[41],"noisy":[43],"signal":[44],"their":[46],"type.":[47]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
