Showing 5 results for Self-Regulation
Zeynab Falsafin, Omid Shokri,
Volume 2, Issue 2 (9-2014)
Abstract
This study examined the mediating effect of positive and negative achievement emotions on the relationship between causal attributions and academic self-regulation among university students. On a sample consisting of 270 students (93 male 177 female) were administrated the achievement emotion questionnaire (Pekrun, Goetz & Perry, 2005).), attributin style questionnaire (Peterson, Semel, Beayer, Abramson, Metalsky & Seligman, 1982) and academic self-regulation scale (Ryan & Connell, 1989). Structural equation modeling was used to assess the mediating effects model of achievement emotions on the relationship between causal attributions and academic self-regulation. results showed that there is a positive significant correlation between adaptive attribution style with positive achievement emotions and a positive significant correlation between nonadaptive attribution style with negative achievement emotions and positive significant correlation between positive achievement emotions with self-regulation and negative correlation between negative emotions and academic self-regulation. Results also indicated that the relationship between adaptive and non-adaptive attribution styles and academic self-regulation by positive and negative achievement emotions is mediated. All of the regression weights in the both models were statistically significant and in the the mediating model of positive and negative achievement emotions, models' predictors accounted for 25% and 21% of the variance in academic self-regulation, respectively. In sum, the results emphysising on the mediating role of achievement emotions, provide further support for the attribution theory.
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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
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Volume 5, Issue 1 (6-2017)
Abstract
This study to do identifying processes and strategies of emotion regulation and designing developmental model based on self-regulation patterns. Thus, this study examined emotion regulation with a developmental perspective in children age 4 - 12 years In Tehran. To 108 children, scenarios including four emotions namely sadness, madness, worry and pain were read. After the stories were read to the subjects and duly understood by them, and once an emotional atmosphere was created, subjects had an emotion regulation interview (ERI) and observation. Findings show that emotion regulation developed from extra-organismic self-regulation (input and output) toward intra-organismic (central processing). This trajectory is situation, attention and perception change, responding and expression modulating and internal-cognitive regulation.
Dr Seyed Saeid Pournaghash Tehrani, Miss Zahra Ghalandarzadeh, Dr Hojjatollah Farahani, Dr Seyed Mehdi Saberi, Dr Masumeh Pashaeii Bahram,
Volume 6, Issue 3 (12-2018)
Abstract
Domestic violence could cause different types of physical and mental consequences for women. This may threaten safety of the family. Women are more prone to be the victims of violence particularly partners’ one. One of the important consequences of violence is cognitive dysfunctioning. Domestic violence could be considered as an environmental stressor factor which in turn could affect cognitive functions. Surviving from the influence of a domestic violence is in direct relation with the cognitive capabilities of abused women. Therefore, investigation on the effect of domestic violence on cognitive functioning of women suffering from domestic violence is an important issue. The effect of violence on cognitive functions may occur throughout other psychological variables. That is why in the current study, the mediating role of self-regulation and psychological Distress relating domestic violence and cognitive functions is investigated.
The current study is a fundamental research. Considering that, the study of the relationship between the interested variables has been conducted on a limited number of abused women, it is a descriptive-correlative type of research. The relationship between the parameters is analyzed based on the research objectives. The subject community is abused women referred to different branches of Tehran Forensic Medicine Center in 2017-2018. 200 abused women are asked to participate in this study. They are selected on a purposive sampling method based on entry-exit criteria and after seeking their acceptances. Miller & Brown (1999) Short Self-Regulation Questionnaire (SSRQ), DASS-21 Questionnaire (1995), Pour Naghash Tehrani (2004) Domestic Violence Questionnaire and MONTREAL cognitive assessment scale (2005) were utilized as the instruments of research variables.
Results are analyzed by means of SPSS and LISREL software. The conceptual model connecting domestic violence to the cognitive functioning throughout the above mentioned mediating parameters are examined. The outcomes supported a suitable fitness for the proposed model, since the statistical indicators such as RMSEA, GFI, MFI, AGFI … showed satisfactory values.
Present study shows that the experience of domestic violence creates significant cognitive dysfunctioning through the mediating factors such as loss of self-regulation capability and Psychological Distress. By means of these findings, families and social organizations such and women’s shelter and support centers can offer suitable educational programs and treatment to prevent the continuation of the violence.
Mr Emad Aldin Ahrari, Mrs Fatemeh Alipour, Mr Seyed Qasem Mosleh, Dr Siavash Sheikhalizadeh,
Volume 11, Issue 4 (3-2024)
Abstract
The aim of this study was to differentiate students with high and low academic performance based on the components of academic self-regulation and cognitive flexibility. The study type was causal-comparative and its statistical population included all male and female high school students in Khaf city in the academic year 2022-2023, among whom finally 371 individuals were selected by cluster sampling, according to Krejcie and Morgan’s table. Data were collected using Dennis and Vanderwall (2010) Cognitive Flexibility Questionnaire, Sevari and Arabzadeh Academic Self-Regulation Questionnaire (2013), and the first semester GPA of 2022-2023 academic year. Data were analyzed using discriminant analysis. The findings of discriminant analysis led to a significant discriminant function which showed the components of controllability perception, Alternatives perception and organization had the highest differentiation power (p <0.01). The results of the discriminant analysis showed that according to the obtained function, 86.2% of students in the two groups were correctly reclassified which indicates the ability of these components to differentiate students at different levels of academic performance.