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2016 | 57 | 754-767
Article title

Psychometric features of Social Capital Questionnaire and its relation with mental well-being in teachers in the city of Kamyaran

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EN
Abstracts
EN
The present paper aimed to explore psychometric features of Social Capital Questionnaire and its relation with mental well-being in teachers in the city of Kamyaran. The research is descriptive and survey-based format and falls under correlative categories. The research universe consists of teachers at three primary, junior school and high school segments in the said city. A sample of 301 people was selected via Morgan Table and by means of appropriate classified sampling method. Participants responded to Social Capital Questionnaire by Delaviz and Mental Well-being by Molavi et al. After the determination of data normalcy distribution by the Kolmogorov-Smirnov Test, 0065ploratory factorial analysis questionnaire was done. The KMO index value was found to be 0/751, confirming sufficiency of sampling. The value obtained for the Bartlett's Sphercity Test was smaller than 0/05, indicating it is significant for a factorial analysis. The factorial analysis having been done by using Varimax rotation with Kaiser Normalization, four factors with eigenvalue higher than one were extracted and the extracted common value, based on a factorial analysis, was found to be over 0/5 for all questions, suggesting there was no need for eliminating any of the questions in then questionnaire. The first factor indicates 13.021%, the second factor 7.053%, the third factor 5.713% and the fourth one 5.032% of the research data variances. The findings obtained from Pearson Correlation Coefficient Test indicated that the Social Capital Questionnaire and its subscales were found to be directly and positively correlated with the variable of mental well-being. Regression results showed that social capital and its components were able to significantly anticipate changes in mental well-being among teachers.
Year
Volume
57
Pages
754-767
Physical description
References
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Document Type
article
Publication order reference
YADDA identifier
bwmeta1.element.psjd-ab95e4e0-51b1-4638-807c-e5a9a6df827f
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