M. Bayrami, T. Hashemi, Sh. Daneshfar, J. Bahadori,
Volume 1, Issue 1 (12-2013)
Abstract
To determine the role of positive and negative emotion, pessimism, optimism, and information processing styles in the students’ psychological adjustment, using the multi-stage cluster sampling method, 400 students of Tabriz University were selected. They were assessed by the positive and negative affect scales (PANAS), Life Orientation-Revised (LOT-R), California Psychological Test (CPI), and Perceive Modes of Processing Inventory (PMPI). The data was analyzed using multiple regression and Pearson correlation coefficient methods. Findings showed that optimism, positive emotions, and rational and experimental information processing styles could significantly predict the psychological adjustment. Therefore, the present study suggests that the students’ psychological adjustment is considerably influenced by their emotional, attributive, and cognitive factors, so these parameters can affect their process of Psychological adjustment.
Hamid Hashemipour, Hadi Keramati, Javad Kavousian, Mehdi Arabzadeh,
Volume 8, Issue 4 (volume8, Issue 4 2021)
Abstract
The aim of this research was to predict students' academic procrastination based on metacognitive beliefs about procrastination with the mediating role of test anxiety The research method was descriptive-correlational. The statistical population included all undergraduate students of Shahid Beheshti University of Tehran in the academic year of 2019-20, from which 320 (206 females and 114 males) were selected by multi-stage cluster sampling. The Procrastination Assessment Scale for Students, Spielberger test anxiety questionnaire and Metacognitive Beliefs about Procrastination Scale were used to collect data. Data were analyzed by structural equation modeling. Findings showed that the suggested conceptual model has a good fit with the data. The variables of test anxiety and metacognitive beliefs about procrastination accounted for most of the variance in academic procrastination, respectively, and explained a total of 28% of its variance. Negative metacognitive beliefs about procrastination only indirectly affected academic procrastination through test anxiety, and full mediation was endorsed. According to the results, it can be concluded that negative beliefs about procrastination make students prone to test anxiety and academic procrastination. Therefore, modifying these beliefs can be considered as an intervention program to decrease test anxiety and academic procrastination.
Dr. Marzie Hashemi, Mrs. Mansoure Gholami,
Volume 11, Issue 4 (Volume12, Issue 4 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.
