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Class attendance and learning outcome

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dc.contributor.authorKwak, Do Won-
dc.contributor.authorSherwood, Carl-
dc.contributor.authorTang, Kam Ki-
dc.date.accessioned2021-09-01T13:22:32Z-
dc.date.available2021-09-01T13:22:32Z-
dc.date.created2021-06-19-
dc.date.issued2019-07-
dc.identifier.issn0377-7332-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/64596-
dc.description.abstractThis paper presents new evidence on the dynamic treatment effects of class attendance on academic performance. The analysis is based on a dataset from a large introductory statistics course and a dynamic modeling framework of Ding and Lehrer (Rev Econ Stat 92(1):31-42, 2010). The course had seven progressive assessments spread across a thirteen-week semester. Assessment test scores were matched to individual student attendance records. We use a panel dataset to study the dynamic interactions over time and between learning activities including lectures and tutorials, while accounting for reverse causality and self-selection without resorting to instruments for attendance or discontinuity design. Class attendance is found to have a test score return rate of 1.3 percentage points per lecture and 1 percentage point per tutorial. For both lecture and tutorial attendances, the contemporaneous effect dominates the lagged effect, with the effects accumulating over time. We also find a substitution rather than complementarity effect between lecture attendance and tutorial attendance, but the former has a stronger effect on test scores than the latter. Our results also show these effects are stronger for under-performing students.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherPHYSICA-VERLAG GMBH & CO-
dc.subjectACADEMIC-PERFORMANCE-
dc.subjectPANEL-DATA-
dc.subjectONLINE-
dc.subjectDETERMINANTS-
dc.subjectINSTRUCTION-
dc.subjectSCHOOL-
dc.titleClass attendance and learning outcome-
dc.typeArticle-
dc.contributor.affiliatedAuthorKwak, Do Won-
dc.identifier.doi10.1007/s00181-018-1434-7-
dc.identifier.scopusid2-s2.0-85047384021-
dc.identifier.wosid000470316300007-
dc.identifier.bibliographicCitationEMPIRICAL ECONOMICS, v.57, no.1, pp.177 - 203-
dc.relation.isPartOfEMPIRICAL ECONOMICS-
dc.citation.titleEMPIRICAL ECONOMICS-
dc.citation.volume57-
dc.citation.number1-
dc.citation.startPage177-
dc.citation.endPage203-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalResearchAreaMathematical Methods In Social Sciences-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.relation.journalWebOfScienceCategorySocial Sciences, Mathematical Methods-
dc.subject.keywordPlusACADEMIC-PERFORMANCE-
dc.subject.keywordPlusPANEL-DATA-
dc.subject.keywordPlusONLINE-
dc.subject.keywordPlusDETERMINANTS-
dc.subject.keywordPlusINSTRUCTION-
dc.subject.keywordPlusSCHOOL-
dc.subject.keywordAuthorStudent performance-
dc.subject.keywordAuthorClass attendance-
dc.subject.keywordAuthorPanel data-
dc.subject.keywordAuthorReverse causality-
dc.subject.keywordAuthorSelf-selection-
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