{"id":"https://openalex.org/W2161028694","doi":"https://doi.org/10.1145/2723576.2723614","title":"Reducing selection bias in quasi-experimental educational studies","display_name":"Reducing selection bias in quasi-experimental educational studies","publication_year":2015,"publication_date":"2015-03-16","ids":{"openalex":"https://openalex.org/W2161028694","doi":"https://doi.org/10.1145/2723576.2723614","mag":"2161028694"},"language":"en","primary_location":{"id":"doi:10.1145/2723576.2723614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723576.2723614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Learning Analytics And Knowledge","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/A5081802677","display_name":"Christopher Brooks","orcid":"https://orcid.org/0000-0003-0875-0204"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christopher Brooks","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050566749","display_name":"Omar Chavez","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Chavez","raw_affiliation_strings":["University of Texas, Austin"],"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028915006","display_name":"Jared Tritz","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jared Tritz","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010406221","display_name":"Stephanie D. Teasley","orcid":"https://orcid.org/0000-0001-8285-4584"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephanie Teasley","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081802677"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":3.0993,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91949218,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9998000264167786,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9998000264167786,"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/T10674","display_name":"School Choice and Performance","score":0.9980999827384949,"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/T10267","display_name":"Higher Education Research Studies","score":0.9757999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/selection-bias","display_name":"Selection bias","score":0.8906482458114624},{"id":"https://openalex.org/keywords/propensity-score-matching","display_name":"Propensity score matching","score":0.7494595050811768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100508213043213},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6852060556411743},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6636014580726624},{"id":"https://openalex.org/keywords/sampling-bias","display_name":"Sampling bias","score":0.5764167308807373},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5205941200256348},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4825577139854431},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.46771755814552307},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4308611750602722},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.41486066579818726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3540770411491394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2939651310443878},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20826759934425354},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.18475157022476196},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16725623607635498}],"concepts":[{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.8906482458114624},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.7494595050811768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100508213043213},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6852060556411743},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6636014580726624},{"id":"https://openalex.org/C75917345","wikidata":"https://www.wikidata.org/wiki/Q2725298","display_name":"Sampling bias","level":3,"score":0.5764167308807373},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5205941200256348},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4825577139854431},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.46771755814552307},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4308611750602722},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.41486066579818726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3540770411491394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2939651310443878},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20826759934425354},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.18475157022476196},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16725623607635498},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2723576.2723614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723576.2723614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Learning Analytics And Knowledge","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":5,"referenced_works":["https://openalex.org/W2006290997","https://openalex.org/W2068144165","https://openalex.org/W2132917208","https://openalex.org/W2150291618","https://openalex.org/W2168206775"],"related_works":["https://openalex.org/W2058324359","https://openalex.org/W3093260814","https://openalex.org/W4382317875","https://openalex.org/W4294433193","https://openalex.org/W4295065014","https://openalex.org/W2056459833","https://openalex.org/W3125032000","https://openalex.org/W2154526772","https://openalex.org/W2186274372","https://openalex.org/W4281782004"],"abstract_inverted_index":{"In":[0],"this":[1,52,80],"paper":[2],"we":[3,57],"examine":[4],"the":[5,26,31,83],"issue":[6],"of":[7,22,33,79,85],"selection":[8,23,101],"bias":[9,24,102],"in":[10,29,103],"quasi-experimental":[11,34],"(non-randomly":[12],"controlled)":[13],"educational":[14,68,92,105],"studies.":[15,35],"We":[16,36],"provide":[17],"background":[18],"about":[19],"common":[20],"sources":[21],"and":[25,42,88,99],"issues":[27],"involved":[28],"evaluating":[30],"outcomes":[32],"describe":[37,58],"two":[38],"methods,":[39,56],"matched":[40],"sampling":[41],"propensity":[43],"score":[44],"matching,":[45],"that":[46,65,91],"can":[47,94],"be":[48],"used":[49],"to":[50,96],"overcome":[51],"bias.":[53],"Using":[54],"these":[55],"their":[59],"application":[60],"through":[61],"one":[62],"case":[63,89],"study":[64,90],"leverages":[66],"large":[67],"datasets":[69],"drawn":[70],"from":[71],"higher":[72],"education":[73],"institutional":[74],"data":[75],"warehouses.":[76],"The":[77],"contribution":[78],"work":[81],"is":[82],"recommendation":[84],"a":[86],"methodology":[87],"researchers":[93],"use":[95],"understand,":[97],"measure,":[98],"reduce":[100],"real-world":[104],"interventions.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
