A new approach to children's education quarterly

A new approach to children's education quarterly

Prediction of academic dishonesty based on intelligence beliefs and stress caused by academic expectations in secondary school students of Mashhad, Murgab city.

Document Type : Original Article

Authors
1 Payame Noor University Department of kharameh،fars,iran
2 department of psychology.payamnoor university.tehrn.iran
Abstract
The main purpose of the present study was to predict academic dishonesty based on intelligence beliefs and stress of academic expectations in the second secondary level students of Mashhad, Murgab city. This applied research is of the correlation type. The statistical population of this research is all the students of the second secondary level in Mashhad, Marghab, in the academic year 1402-1401, of which 260 people were selected randomly as a sample according to Morgan's table. Data collection tools including the academic dishonesty scale of McCobe and Trevino (1996), Babaei Intelligence Beliefs Questionnaire (1997) and Ang and Hwan's Educational Expectations Stress Questionnaire (Ang and Hwan, 2006) were used. The validity of the questionnaire was confirmed by face validity and the reliability of the questionnaire was confirmed by Cronbach's alpha using SPSS-18 software. Pearson correlation coefficient of multivariate regression was used for statistical analysis. The results of the research hypotheses also showed that the prediction of academic dishonesty is based on intelligence beliefs and the stress of academic expectations in the second secondary level students of Mashhad, Marghab. The prediction of academic dishonesty is based on the components of intelligence beliefs (incremental and intrinsic) in the second secondary level students of Mashhad, Marghab. However, the prediction of academic dishonesty is not based on the stress of academic expectations (stress caused by parents/teachers' expectations and stress caused by personal expectations from oneself) in the second secondary level students of Mashhad, Marghab.
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Volume 5, Issue 1 - Serial Number 15
Winter 2023
Pages 119-127

  • Receive Date 04 December 2022
  • Revise Date 10 March 2023
  • Accept Date 05 January 2023
  • First Publish Date 05 January 2023
  • Publish Date 21 March 2023