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Prediction of secondary school students’ environmental attitudes by a logistic regression model

Author

Listed:
  • Ali Derya Atik

    (Kilis 7 Aralık University)

  • Gamze Yücel Işıldar

    (Gazi University)

  • Figen Erkoç

    (Gazi University)

Abstract

This paper explores some variables and impacts affecting secondary school students’ environmental attitudes. The Environmental Attitude Scale was used as a data collection tool. The participants consisted of 1794 students attending nine secondary schools with all grades in urban and rural places in five provinces. Students’ place of residence, gender, having a pet or growing a plant, school type, family income, discussing environmental issues at home, and grade were all tested using binary logistic regression analysis to create a model that predicted their environmental attitudes. Among the variables included in the logistic regression model regarding secondary school students’ environmental attitudes, gender, having a pet or growing plant, school type, family income, discussing environmental issues at home, and grade significantly predict their attitudes. The classification of students’ low or high with the logistic regression model is examined; the accurate classification rate is 60.9.

Suggested Citation

  • Ali Derya Atik & Gamze Yücel Işıldar & Figen Erkoç, 2022. "Prediction of secondary school students’ environmental attitudes by a logistic regression model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4355-4370, March.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:3:d:10.1007_s10668-021-01618-3
    DOI: 10.1007/s10668-021-01618-3
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    References listed on IDEAS

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    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Jelle Boeve-de Pauw & Peter Petegem, 2010. "A cross-national perspective on youth environmental attitudes," Environment Systems and Decisions, Springer, vol. 30(2), pages 133-144, June.
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