Identifying potential dropouts through school health records.
This study of the records of 255 ninth grade, inner-city Midwestern high school students shows that students who drop out of school are several times as likely to have incomplete health information in the school health record as students who stay in school. A cluster of five variables--vision screening, scoliosis screening, visits to the health office, age and attendance--were found to provide 85% or better accuracy in estimating actual drop-out rates. Missing or incomplete data in combination with attendance data thus become powerful predictors of potential dropouts.
Swanson
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N
Leonard
B J
BJ
D000293:Adolescent; D002648:Child; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D009737:Nursing Records; D011237:Predictive Value of Tests; D012573:School Nursing; D013332:Student Dropouts / Q000706:statistics & numerical data