Prediction of Wisdom Based on Components of academic experiences Through the Intermediation of Cognitive flexibility

Document Type : Research Paper

Authors

1 PhD Student, University of Mazandaran, Faculty of Humanities and Social Sciences, Department of Psychology, Mazandaran, Iran

2 Associate Professor, Department of Psychology, University of Mazandaran, Faculty of Humanities and Social Sciences, Mazandaran, Iran

3 Assistant Professor, Department of Psychology, Mazandaran University, Faculty of Humanities and Social Sciences, Mazandaran, Iran

Abstract

The aim of this study was to develop a model of structural equations to measure the direct and indirect relationship of wisdom based on Components of academic experiences through the mediation of components of Cognitive flexibility between the students of the University of Tehran. The method of current research is in the scope of descriptive-correlational design and the analysis method is structural equation modeling. The statistical population of the present study is included of all male and female postgraduate and doctoral students at the University of Tehran in 2009-2010 who were selected as the sample of the study. The sample size was 357 based on the minimum required subjects for the obvious variables in the model. The sampling method was random multi-stage cluster analysis. In order to collect data and measure research variables, Schmidt et al. (2012) Wisdom, Pace and Kouveh (2002) and Dennis and Vanderwall (2010) cognitive flexibility questionnaires were used. Data analysis was performed using SPSS-23 and AMOS-22 software. The research model was evaluated using the fitting indices of the structural equation model and the path analysis technique. Examination of correlation coefficients showed that academic experiences is able to directly predict wisdom and has a direct and significant effect. Determining the significance of the indirect effect also indicates that the Cognitive flexibility have a mediating role and its mediation share between the variables has been completely positive and significant., it can be concluded that the data to have a good fit with the research model

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History

  • Receive Date: 03 June 2021
  • Revise Date: 23 July 2021
  • Accept Date: 28 August 2021

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