Data-driven analytics to identify school absenteeism associated risk and protective factors for secondary school students
Abstract
Chronic 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.
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