f. bayanfar

This study was carried out to predict academic engagement based on academic support and family emotional climate with the mediating role of academic emotions. This cross-sectional research had a descriptive-correlational design. The statistical population of the study comprised all female junior high school students in Semnan in 2019-20 school year from among whom 236 individuals were selected through multi-stage cluster sampling method. Research instruments included School Engagement Questionnaire (Fredricks et al., 2004), Academic Emotions Questionnaire (Pekrun et al., 2005), Heilbrun’s Parent-Child Interaction Rating Scale (1964), and Academic Support Scale (Sands & Plunkett, 2005). The data were analyzed using Pearson correlation coefficient and Structural equation modeling. Results showed that among subscales of academic emotions, enjoyment, anxiety, and fatigue in the classroom could mediate the relationships of family emotional climate and academic support to academic engagement. Results of path analysis demonstrated that academic support had no significant effect on enjoyment, anxiety, and fatigue in the classroom. The rest of the model paths were significant. Therefore, by strengthening positive academic emotions, making classrooms more interesting, reducing negative academic emotions such as students' anxiety and fatigue in the classroom, increasing academic support, and promoting a positive and constructive family emotional climate, it is possible that students' academic engagement will also increase.

The present study aimed to determine the role of coupleschr('39') communication patterns in the emotional detachment of married students.

The research was a basic correlational study. The statistical population consisted of all married students studying at the Azad University of Mashhad in the academic year of 2020. We selected the samples using convenience sampling, and the sample size was equal to 246. We collected data using Fitzpatrick and Ritchie Family Communication Patterns Questionnaire (1990), and Gottman Emotional Divorce Scale (EDS) (2008). We used multiple regression analysis to analyze the data.

The results indicated a significant negative correlation between the conversation orientation communication pattern and emotional detachment, but a significant direct correlation between conformity orientation communication pattern and emotional detachment.

Emotional divorce can decrease by providing necessary training to improve family communication patterns and the adaptive motivational structure of couples who have emotional divorce problems or are seeking a divorce.

The aim of this study was to predict marital adjustment among young couples in Ahvaz based on personality traits, differentiation of self and psychological hardiness. Design of this study was descriptive-correlational. Statistical population included all young couples in the age range of 20 to 40 years old in Ahvaz city in 2019. Participants were 368 male and female that were selected by a multistage cluster sampling method among all young couples. Tools were Neo Five Factor Inventory, Differentiation of self-Inventory, Kobasa Hardiness Questionnaire and Graham–Bisspicrrier Marital Adjustment Questionnaire. Data were analyzed using Pearson’s Correlation and Multiple Regression Analysis.       From Neo personality traits: E (0/75), C (0/49), A(0/48), O(0/33) and N(-0/54); from differentiation of self dimensions: I position (0/56), emotional reactivity (0/40), emotional fusion (-0/19) and from  hardiness:  commitment (0/41), challenge (0/42) and control (0/42) were related with marital adjustment. Regression analysis showed significantly Beta coefficients  for E(0/63), N(-0/11), O(0/07), for I position (0/59), emotional reactivity0/27, emotional fusion (0/26), emotional cutoff (-0/13), and for control (0/26), challenge(0/22) and commitment (0/18). It could be concluded that couples who are higher in E, C, A, O and lower in N, and are more differentiated of self and psychological hardiness are more compatible in their marital life.