درخت حوزه‌های تخصصی

Objective: The purpose of this research was the effectiveness of Imago Therapy on love styles and communication problems of married women. Methods: The research design was quasi-experimental with pre-test post-test control group. The statistical population of this study consisted of all women attending counseling centers in Alborz province in 2022. Since the research method was semi-experimental, 76 married women volunteered to participate in the study through availability sampling. After completing the Love Scale questionnaires (Hatfield & Sprecher, 1986) and the Queendom Communication Skills Questionnaire (CSTR), those who obtained the lowest averages on these two questionnaires were selected using simple random sampling (30 individuals, 15 in the experimental group and 15 in the control group). The data analysis in this research was conducted in the inferential statistics section, taking into account the nature of the study and the distance of the scale of the dependent variables. The parametric analysis of covariance test was used in the SPSS-22 software environment. Results: Findings showed that the value of F resulting from the analysis of covariance of multiple variables (Wilks Lambda=0.347.0, 2=653, P=0.001, F (25 and 2) =23.56) is significant. This indicates that the implementation of Imago Therapy has had a significant effect on communication skills and passionate love. Conclusions: Based on this, the hypothetical test concluded that Imago Therapy affects the styles of love and communication issues of married women.

Objective: This study aimed to investigate the relationship between humor and stress in families, with positive affect as a mediating variable. Methods and Materials: The study employed a descriptive correlational design with 409 participants selected from families in South Africa, based on the Morgan and Krejcie sample size table. Data were collected through standardized questionnaires measuring humor, stress, and positive affect. Pearson correlation analysis was conducted using SPSS-27 to explore bivariate associations among variables. Structural Equation Modeling (SEM) was performed in AMOS-21 to test the hypothesized mediation model. Model fit was evaluated using multiple indices, including χ², df, χ²/df, GFI, AGFI, CFI, TLI, and RMSEA. Findings: The results revealed significant correlations between the study variables. Humor was positively correlated with positive affect (r = 0.53, p < .001) and negatively correlated with stress (r = −0.41, p = .001). Stress showed a significant negative correlation with positive affect (r = −0.47, p < .001). The structural model demonstrated acceptable fit (χ²(61) = 124.36, χ²/df = 2.04, GFI = 0.93, AGFI = 0.90, CFI = 0.96, TLI = 0.95, RMSEA = 0.049). Path analysis confirmed that humor had a direct positive effect on positive affect (β = 0.39, p < .001) and a negative effect on stress (β = −0.34, p = .001). Stress negatively influenced positive affect (β = −0.28, p < .001). Positive affect mediated the relationship between humor and stress, with a significant indirect effect (β = 0.09, p = .002). Conclusion: The findings highlight the protective role of humor in family contexts, showing that it reduces stress both directly and through the mediating role of positive affect. Integrating humor into family-based interventions may enhance resilience and emotional well-being.

Objective: This study aimed to investigate the relationship between sexist parenting style, cognitive emotion regulation strategies, and the perpetration of domestic violence against women by married men. Methods and Materials: A correlational design was used involving 300 married men selected through convenience sampling from medical centers in Qazvin. Participants completed the Mohseni Tabrizi Domestic Violence Questionnaire and the Garnefski Cognitive Emotion Regulation Questionnaire. Descriptive statistics, Pearson correlations, and structural equation modeling using LISREL 8.80 were conducted to analyze the data. Model fit was assessed using indices including Chi-square, RMSEA, CFI, and TLI. Findings: Results indicated that sexist parenting style was positively associated with domestic violence perpetration (β = .51, p < .001). Maladaptive cognitive emotion regulation strategies were also significantly associated with increased violent behavior (β = -.39, p < .001). Model fit indices demonstrated a good fit (χ²/df = 1.41, RMSEA = .037, CFI = .97, TLI = .96). Additionally, sexist parenting and emotion regulation interacted positively in predicting violence, suggesting that both factors jointly contribute to abusive behavior. Conclusion: The findings underscore the critical role of sexist parenting and maladaptive cognitive emotion regulation strategies in perpetuating domestic violence against women. These results highlight the need for preventive interventions focusing on gender-sensitive parenting practices and training in adaptive cognitive emotion regulation strategies among men to reduce the prevalence of domestic violence.

Aim: The growing prevalence of digital games and their potential impact on mental health highlight the need to identify protective mechanisms against possible negative effects. The present study aimed to investigate the role of parental phubbing and ego-resilience in adolescents’ tendency toward digital game addiction: a neural network approach. Method: This research employed a descriptive-correlational design. The statistical population included all male high school students (second cycle) in public schools of Karaj during the 2024 academic year. A total of 300 students were selected using a cluster random sampling method and completed the Digital Game Addiction Scale by Başol et al. (2018), the Parental Phubbing Scale by Ding et al. (2020), and the Ego-Resilience Scale by Block and Kremen (1996). The collected data were analyzed through an artificial neural network using the multilayer perceptron (MLP) approach in SPSS version 26. Results: The findings indicated that parental phubbing and ego-resilience significantly contributed to predicting digital game addiction among adolescents (p< 0.01). Neural network analysis revealed that parental phubbing positively predicted digital game addiction, whereas ego-resilience negatively predicted it. Parental phubbing emerged as the strongest predictor (100%), while ego-resilience served as a protective factor (57.8%). Moreover, the artificial neural network model accurately captured the trends and variations of digital game addiction based on these variables. Conclusion: The results demonstrated that parental phubbing and ego-resilience are critical factors in explaining adolescents’ digital game addiction. Moreover, the artificial neural network model showed high accuracy in predicting the intensity and course of this addiction.