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dc.contributor.authorLee, Knoo
dc.contributor.authorMcMorris, Barbara J.
dc.contributor.authorChi, Chih-Lin
dc.contributor.authorLooman, Wendy S.
dc.contributor.authorDelaney, Connie W.
dc.date.issued2021eng
dc.description.abstractChronic absenteeism (CA), defined as missing at least 15 school days/year, is recognized as a national problem in the U.S. with devastating long-term impacts for students. Previous studies have been guided by a mixture of diverse CA definitions and measurements which could potentially harm the applicability of findings. Despite the number of CA-associated factors identified, studies utilizing a unified theoretical system to a wide range of risk and protective factors has been scarce.eng
dc.identifier.urihttps://hdl.handle.net/10355/88261
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Health Sciences Research Dayeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.eng
dc.titleData-driven analytics to identify school absenteeism associated risk and protective factors for secondary school studentseng
dc.typePresentationeng


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