جستجوی مقالات مرتبط با کلیدواژه "تجربه شیفتگی" در نشریات گروه "روانشناسی"

The aim of the present study was the modeling of psychological well-being based on mindfulness mediated by flow in female students. This research was descriptive correlational using a structural equation modeling method. The statistical population in the present study included all female students of the third grade of the second school in Qom, in the academic year of 2023-2024. The statistical sample size was determined to be 200 people, which was done by random cluster sampling. The questionnaires were Five-Factor Mind Fulness of Questionnaire (FFMQ, Bauer et al., 2006), Flow State Scale (FSS, Jackson & Eklund, 2002 ) and Psychological Well-Being questionnaire (PWB, Ryff, 1989). For analyzing data we used the analysis of structural. The results of data analysis showed that the model has a good fit and there is a significant correlation and flow state has a direct and significant effect on psychological well-being (P<0.01), But mindfulness had no direct effect on psychological well-being (P>0.05). Also, mindfulness through the mediation of the flow state has an indirect and significant effect on psychological well-being (P<0.01). In general, it can be concluded that flow is one of the underlying mechanisms of the relationship between mindfulness and psychological well-being in students; Based on this, it is suggested to implement educational and therapeutic programs focused on mindfulness and flow to improve the psychological well-being of students.

This research investigates the relationship between attribution styles and psychological capital through the flow with academic engagement. The type of research was descriptive and correlational. The statistical population of the research is male and female students of Yazd University in the academic year 1398-1399 (14470), in which 384 students were selected by convenience sampling. The research instruments included standard questionnaires of attributional styles by Patterson and Seligman (1984), flow by Jackson and Auckland (2002), psychological capital by Luthans, Avolio, Avey, & Norman (2007) academic engagement by Fredericks, Blumenfeld & Paris (2004). Data analysis was performed using SmartPLS2 and software. The results of structural equation modeling showed that psychological capital plays a role in predicting academic engagement. Positive attribution style plays a role in predicting academic engagement. Negative attribution style plays a role in predicting academic engagement. Psychological capital plays a role in predicting academic engagement by mediating the flow. Positive attribution style plays a role in predicting academic engagement by mediating the flow (p<0/05). Negative attritional style plays a role in predicting academic engagement through the mediating role of the flow (p<0/05).Finally, considering the role of document styles and psychological capital in predicting academic enthusiasm, it seems necessary to establish educational workshops to improve psychological capital and improve students' document styles.

The aim of the current study was to investigate the realationship between flow and motivational forces. Data were collected from 186 students in third grade high school of janah high school, were chosen through stratifield random sampling. The following Scale and questionnaires were used: Flow State Scale, Expectancy-value questionnaire, Basic psychological Needs Scale, and Future Time Perspective Scale. To investigate the research questions, Pearson’s correlation coefficient and stepwise regression were used. The result showed the self determination and Expecctancy-value had a positive significant relation with flow experience, but there was no significant relation between flow and future time perspective. The results obtained from stepwise regression analysis showed that in the first step, component clear goals, in the second step, clear goals and concentration on task, and in the third step, three components clear goals, concentration and unambiguous feedback have role in predicting self determination. Also omponent sense of control predicted, 13% of the variance of the Expecctancy-value and Component loss of self-consciousness predicted 4% of the variance of the future time perspective.