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        1 - Psychometric Properties of the Persian Version of the Mental Health Literacy Scale (MHLS) in Iranian Students
        fateme jafari arezoo zarebi Abbas  Abdollahi Simin  Hosseinian
        The aim of the present study was to prepare a Persian version of the Mental Health Literacy Scale (MHLS) of O’Connor & Casey (2015) and to examine its psychometric properties. In order to 346 people of undergraduate, graduate and doctoral students of Shahroud University More
        The aim of the present study was to prepare a Persian version of the Mental Health Literacy Scale (MHLS) of O’Connor & Casey (2015) and to examine its psychometric properties. In order to 346 people of undergraduate, graduate and doctoral students of Shahroud University in 1998 were selected through available sampling And completed the Persian version of the MHLS (2015), the Psychological Assistant Attitude Scale - Fischer and Farina (1995) -Short Form, Health Anxiety inventory - Salkovskis & Warwick -Short Form (2002), and Beck Depression Questionnaire. CVR was more than 0.62 percent and the CVI was more than 0.75 percent, indicating the appropriate content validity of the scale. The results of the confirmatory factor analysis showed that the factor load of the items is more than 0.15 and all the routes from the items to the variable hidden at the level. 0.5 were significant and the scale had a good construct validity. An examination of the validity of the structure using CFA showed that the scale has a factor structure consisting of 6 subscales. The study of validity at the same time as calculating the correlation of this scale with the scale of attitude with the help of psychological psychologists - Fisher and Farina (1995) short form, Health Anxiety Questionnaire - Salkoskis and Varvik short form (2002), indicates a positive relationship between mental health scale scores It was questionnaires. The results indicate that the mental health literacy scale is a valid and appropriate tool for use in Iranian society. Manuscript profile
      • Open Access Article

        2 - Choosing the most suitable personality questions in the measurement of personality dimensions: combining the latent trait theory and network data analysis
        Maryam Mohtashami Mohammad Hossein  Zarghami Beheshteh Niooshah
        The word personality refers to the uniqueness, individuality and subjectivity of the subject being studied. The measurement of such a dynamic and complex concept is considered a fundamental challenge in the field of methodology for the measurement of psychological const More
        The word personality refers to the uniqueness, individuality and subjectivity of the subject being studied. The measurement of such a dynamic and complex concept is considered a fundamental challenge in the field of methodology for the measurement of psychological constructs. The aim of this research is to present a new method in two different parts of personality questionnaire question analysis: a) personality questionnaire question dimensions obtained from the implementation of questionnaires on independent samples through correspondence analysis and b) question prioritization using from the network data analysis method based on the importance of questions in each dimension. To achieve these goals, 32 personality questionnaires - which cover most of the application areas of personality questionnaires - were implemented on 82,988 volunteers via web-based forms. Correspondence analysis results show that personality has two dominant dimensions that explain about 75% of personality variance. The results of network data analysis show that the important questions in different indexes are not necessarily the same and the selection of questions based on a specific index should be based on the meaning of that index, however, according to the correlation structure of the priority of questions in the index network, a general index was defined based on which questions were prioritized in two dimensions of personality. The result of the present research led to the presentation of an algorithm for selecting personality questions in personality dimensions. Manuscript profile