Zohreh Aghakhani; Mohammad Hossien Zarghami
Abstract
اLove addiction is a type of behavioral addiction that has recently attracted the attention of many researchers in psychology and psychiatry.This phenomenon causes suffering, distress, mal-adaptiveness and risks for the affected person and others. The purpose of the present study was to use network ...
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اLove addiction is a type of behavioral addiction that has recently attracted the attention of many researchers in psychology and psychiatry.This phenomenon causes suffering, distress, mal-adaptiveness and risks for the affected person and others. The purpose of the present study was to use network analysis as one of the psychometric approaches and to apply it in the study of network structure of love addiction symptoms.Network analysis is a powerful way to analyze the relationships among network elements (questionnaire items).The method of this study was descriptive-correlational and the statistical population consisted of all Iranian females and males with at least one experience of falling in love. A total of 148 questions were formulated using an 8point Likert scale and two questions were omitted form the questionnaire during the question analysis. Data were collected by electronically administering a researcher made questionnaire on 1149 individuals and analyzed in two distinct stages using MIRT software package in R software. Graphical representation based on the data collected through network analysis (graph theory)and Fruchterman and Reingold algorithm was performed using graphs, boothnet software packages in Rsoftware. The results of the network analysis showed that the items of the questionnaire, each of which indicating a symptom of love addiction based on studies in this area, were placed in a coherent network.The most important symptoms in the love addiction network were reported to be obsessiveness,fantasy,impulsivity, physical and emotional dependence, as well as high emotion seeking, while the least important symptoms were suicidal tendencies, extreme selfsacrifice and sexual attractions.
Fahimeh Sadeghi Zamani; Mohammad Hossien Zarghami
Abstract
The purpose of this study Network data analysis application in family distance according to personality dimensions (NEO). Network analysis is a powerful method for analyzing communications between network members, which is a personality dimension and a graphical representation of matrix data. This research ...
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The purpose of this study Network data analysis application in family distance according to personality dimensions (NEO). Network analysis is a powerful method for analyzing communications between network members, which is a personality dimension and a graphical representation of matrix data. This research is a correlation study. In this research, which used cluster random sampling, 130 families with girls aged 11 to 20 from districts 1 and 3 of Tehran were chosen. The NEO Personality traits Inventory was used for data collection. The communication network depicted based on the data using network analysis technique and Fraterman-Reingold algorithm with qgraph and bootnet in software R. This pattern represented that between the subscales of personality, extraversion of the highest centrality, neuroticism had the highest negative connection and openness to experience had the least connection with other subscales. Conscientiousness-agreeableness had the most positive relationship and neuroticism-extraversion had the most negative relationship with each other.
Ladan Araghi; Azadeh Taheri; zahra joz ramazani; afrooz abas pour; Mohammad Hossien Zarghami
Abstract
Abstract: The foundation of network data analysis in psychometrics rests on particular theory, special ontological assumptions and particular methodology. Therefore it is possible to call network analysis as an independent paradigm with given techniques for data gathering and data analysis. This study ...
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Abstract: The foundation of network data analysis in psychometrics rests on particular theory, special ontological assumptions and particular methodology. Therefore it is possible to call network analysis as an independent paradigm with given techniques for data gathering and data analysis. This study introduces the analysis of network data as a psychometric-mathematical technique, and its use in questionnaire item analysis. To achieve this goal, data gathered from implementation of a self-made questionnaire on 1000 Tehran's high school students. The questionnaire was made based on occupational-personality Holland theory. Researchers analyzed questionnaire’s items according to conventional methods (classical test theory, item response theory and factor analysis) and proposed method (network data analysis). Comparison of the results shows that a complete conformity between conventional methods final outputs and the outputs from network data analysis. Therefore, psychometricians can use network data analysis independently or alongside conventional methods to analyze questionnaires items. Advantages of such a method are simplicity, accuracy, being virtually and integrity.
