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Showing 2 results for Thinking Style

, , ,
Volume 4, Issue 4 (1-2017)
Abstract

This study aimed to determine the mediating role of self-regulation in the relationship between thinking styles and students’ test anxiety in Birjand University. The present study is a non-experimental one and of Structural Equations Modeling (SEM) type. The sample size consists of 300 students (150 males and 150 females) who were studying in Birjand University that were selected through multi-stage cluster random sampling method. They completed three questionnaires including Test Anxiety questionnaire developed by Abolqasemi et al. (1996), Self-regulation questionnaire by Pinterich and DeGrowth (1990) and Thinking Styles by Sternberg and Wagner (1992). Then, descriptive statistics such as mean and standard deviation and parameters of inferential statistics and path analysis were applied using AMOS software. The results showed that thinking styles explain 31% of the self-regulatory learning variance and thinking styles with mediation of self-regulatory learning explain 36% of the test anxiety variance. Thinking styles have an indirect relationship with test anxiety through self-regulation. Therefore, identifying different learning styles and skills through self-regulation of the amount of test anxiety they explained. And thus to reduce test anxiety set of programs. As a result, planners and therapists These findings suggest that self-regulation is necessary to reduce test anxiety, and also references to different learning styles as a key variable pay special attention


Dr. Marzie Hashemi, Mrs. Mansoure Gholami,
Volume 11, Issue 4 (3-2024)
Abstract

The research was conducted with the aim of determining the relationship between thinking styles and decision-making styles with the mediation of problem solving among startup employees. The research was descriptive and correlational. The statistical population of the research included all employees in the field of startups in Tehran in 1401. 300 people were selected by available sampling method and responded to research tools including questionnaires of thinking style (Sternberg, 1994), decision making style (Scott and Bruce, 1995) and problem-solving skills (Heppner, 1988). Analysis of research data using descriptive statistics methods (prevalence, percentage, mean and standard deviation), Pearson correlation coefficient, multivariate regression and structural equation modeling and path analysis statistical method with SPSS-26 software and Amos is done. Based on the findings, the proposed model had a good fit in structural equations and causal relationships between the mentioned variables. In general, in the proposed model of the research, it was found that the decision-making style is related to the thinking style both directly and indirectly through the problem-solving skills of the startup employees (P<0.05). The results showed that there was a positive and significant relationship between problem solving skills and its dimensions with decision-making style (P<0.05) and between thinking style and its dimensions with decision-making style. The collected data are consistent with the desired structural model and have a good fit. Therefore, the relationship between thinking styles and decision-making styles is confirmed with the mediation of problem-solving skills in startup employees.
 

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