The effect of health status, nutrition, and some other factors on low school performance using induction technique

  • Objectives: We investigated the effect of some hypothetical factors (nutrition, health indicators, risk behaviors, personal characteristics, and family indicators) on academic achievement using Logistic Regression (LR) and the Chi-squared Automatic Interaction Detection (CHAID) method. Study Design: Participants were 873 secondary school or high school students selected randomly from a total of 12,150 students after stratification according to school populations in Edirne, in 2003. Results: The sensitivity, positive predictivity, and specificity rates were 61.19%, 67.70%, and 74.25% for CHAID, and 50.00%, 64.29%, and 75.69% for LR, respectively. Father's educational level was the most important factor in the CHAID method. Smoking status, time reserved for homework, and nutrition were the other important factors predicting low school performance according to the CHAID method. Conclusion: The classification tree algorithm can be used in risk analysis and target segmentation forObjectives: We investigated the effect of some hypothetical factors (nutrition, health indicators, risk behaviors, personal characteristics, and family indicators) on academic achievement using Logistic Regression (LR) and the Chi-squared Automatic Interaction Detection (CHAID) method. Study Design: Participants were 873 secondary school or high school students selected randomly from a total of 12,150 students after stratification according to school populations in Edirne, in 2003. Results: The sensitivity, positive predictivity, and specificity rates were 61.19%, 67.70%, and 74.25% for CHAID, and 50.00%, 64.29%, and 75.69% for LR, respectively. Father's educational level was the most important factor in the CHAID method. Smoking status, time reserved for homework, and nutrition were the other important factors predicting low school performance according to the CHAID method. Conclusion: The classification tree algorithm can be used in risk analysis and target segmentation for academic achievement management. Our results may contribute to developing guidelines for those involved in secondary school and high school education.show moreshow less

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Metadaten
Author:Mevlüt Türe, Zekeriya AktürkORCiDGND, İmran Kurt, Nezih Dağdeviren
URN:urn:nbn:de:bvb:384-opus4-1021303
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/102130
URL:https://balkanmedicaljournal.org/text.php?lang=en&id=1446
ISSN:1301-3149OPAC
Parent Title (Turkish):Trakya Üniversitesi Tıp Fakültesi Dergisi
Publisher:Balkan Medical Journal
Type:Article
Language:English
Year of first Publication:2006
Publishing Institution:Universität Augsburg
Release Date:2023/02/16
Volume:23
Issue:1
First Page:28
Last Page:38
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Allgemeinmedizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)