Course grades as actionable early warning indicators: predicting high school graduation in an urban school district

被引：1

作者：

Marshall, David T. ^{[1
]}

机构：

[1] Auburn Univ, 4036 Haley Ctr, Auburn, AL 36849 USA

来源：

PREVENTING SCHOOL FAILURE | 2022年 / 66卷 / 03期

关键词：

Dropout; early warning indicators; grades; graduation; high school; logistic regression modeling; DROPOUT RATES; STUDENT; RETENTION; RISK;

D O I：

10.1080/1045988X.2022.2028715

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation cohorts (n = 2773) and multilevel logistic regression analyses were conducted to analyze the data. Most early warning indicator (EWI) models include end-of-course grades as predictors. This study operationalizes course failure as having failed a single marking period in the eighth grade or having failed a single semester in the ninth grade. Findings offer practitioners an actionable course grades based EWI, allowing for intervention after a single marking period of failure.

引用

页码：206 / 213

页数：8

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