Marzieh Balali; mahmoud goudarzi; Farideh Dokaneifard
Abstract
This study aimed to test the causal model of marital stability based on personality traits mediated by attitude styles towards love in married women referring to counseling centers in Tehran.The study was of applied research type in terms of its purpose, cross-sectional data collection and analysis using ...
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This study aimed to test the causal model of marital stability based on personality traits mediated by attitude styles towards love in married women referring to counseling centers in Tehran.The study was of applied research type in terms of its purpose, cross-sectional data collection and analysis using correlational method and structural equation modeling. The statistical population of the study included all married women referring to Tehran counseling clinics in 1402. To determine the sample size, according to the number of observed variables and assigning a coefficient of 15 to each observed variable, 354 people were selected as the sample size. This number was selected by considering the selection criteria in a convenient manner. The data collection tools were Sternberg's Attitude to Love Questionnaire (1986), Edward et al.'s Marital Instability Questionnaire (1980), and Costa and McCrae's Personality Questionnaire (1992). The data were analyzed using structural equations. SPSS26 and Amose 23 software were used to analyze the data. The results obtained from the path coefficients in the structural model showed that the direct effect of personality traits on attitude towards love (β = 0.42, p ≥ 0.001), personality traits on marital stability (β = 0.38, p ≥ 0.001), and attitude towards love on marital stability (β = 0.38, p ≥ 0.001) is significant. According to the results, the causal model of marital stability based on personality traits mediated by attitude styles towards love in married women referring to Tehran counseling centers has a good fit, and the model test showed that the fit indices of the research model are in a favorable state.
RogheaAsadi Roghea; Ali Dlavar
Abstract
The purpose of this study was to investigate the relationships between personality traits and subjective well-being in predicting spiritual intelligence in order to develop structural model. For this aim 220 students of the Amir Kabir University at the under graduate, master’s and doctoral degrees ...
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The purpose of this study was to investigate the relationships between personality traits and subjective well-being in predicting spiritual intelligence in order to develop structural model. For this aim 220 students of the Amir Kabir University at the under graduate, master’s and doctoral degrees using systematic random sampling were selected. They completed Spiritual Intelligence Scale of King (2007), Keyes comprehensive scale of well-being (1998) and Big Five Factor personality Inventory (NEO-FFI). In order to assess the relationship between latent and measured variables in the conceptual model, the structural equation modeling was used. The results showed that high scores in the spiritual intelligence predicted through low scores in neuroticism and high scores in extraversion and conscientiousness. In this model, well-being was mediator, and neuroticism, extraversion and conscientiousness with the mediating mental wellbeing could predict the variance of spiritual intelligence, regression weights of direct effects were not significant but the weights of indirect and total effects were significant, and the predictor variables explained 25% variances of spiritual intelligence. The results of the present study emphasize the role of personality traits on well-being and spiritual intelligence.
hadi jafari nejhad; fariborz dorr taaj
Abstract
Background: Students differ in terms of mental abilities, learning style and rate, fitness, intelligence and aptitude, personality, interest in and motivation for learning, and academic activities as a means of assessing their learning. Objective: The present paper aims to discover some of such differences. ...
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Background: Students differ in terms of mental abilities, learning style and rate, fitness, intelligence and aptitude, personality, interest in and motivation for learning, and academic activities as a means of assessing their learning. Objective: The present paper aims to discover some of such differences. This study seeks to investigate the relationship that exists between personality' and learning approaches in predicting students’ preferences based on six different methods of assessment. Method: The present research is based on a descriptive-survey method and is of a correlative type. Sample: Using cluster sampling method, 410 participants were selected. Instrument: The instruments used in this study included NEO Five-Factor Personality Inventory, study skills questionnaire, and assessment methods questionnaire. Results: Data analysis with a correlation coefficient showed that the five personality traits and two learning approaches had a relationship with assessment methods. Moreover, results of multiple regression were indicative of the fact that students with low openness personality trait preferred multiple choice method; whereas students with openness personality traits and deep approaches to learning, preferred descriptive examinations and practical projects. In addition, students with deep approaches to learning, conscientious personality traits and low neuroticism preferred oral tests. As for continuous measurement method, regressions lacked any significance. Students with deep learning approaches and low openness personality trait preferred team work assessment method. Discussion and Conclusion: Students who possess openness and conscientiousness traits and adopt deep learning approach mostly select descriptive examinations, oral tests, teamwork, and practical projects as the assessment method.
