Novel Explorations in Computational Science and Behavioral Management

Novel Explorations in Computational Science and Behavioral Management

The prediction of student responsibility based on family performance and teacher emotional responsiveness in teaching

Document Type : Original Article

Authors
1 M.A. in psychology, University of Mohaghegh Ardabil. Ardabil. Iran.
2 Professor, Department of physiology, University of Mohaghegh Ardabil. Ardabil. Iran.
3 B.Sc. in psychology, University of Zanjan, Zanjan, Iran.
Abstract
The present study aims to predict students' accountability based on family functioning and teachers' emotional expressiveness in teaching. To achieve the research objectives, a descriptive-correlational design with a cross-sectional field approach was employed to examine the study variables. The statistical population comprised high school students in Zanjan Province during the 2024–2025 academic year. The sample size was determined using Jully Planet's formula, and 200 students were selected via multistage cluster random sampling. Standardized questionnaires were used as research instruments. Data were analyzed using SPSS v.26 through linear regression analysis.
The regression results revealed that family functioning (Pearson’s *r* = 0.647, coefficient of determination = 0.419) had a stronger predictive effect on students' accountability compared to teachers' emotional expressiveness (Pearson’s *r* = 0.426, coefficient of determination = 0.181). Statistical tests confirmed the high significance of both variables (*p* < 0.01).
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Articles in Press, Accepted Manuscript
Available Online from 15 March 2025

  • Receive Date 04 January 2025
  • Revise Date 28 February 2025
  • Accept Date 15 March 2025