Network Data Analysis Application in Drawing the Communication Network to Measure Evolution in Middle Childhood

The present study was conducted with the aim of Network data analysis application in drawing the communication network to measure evolution in middle childhood.

Therefore, in terms of purpose, it was practical, and in terms of data collection method, it was descriptive-survey. The statistical population of the present study is all students of Tehran city in the elementary level (6 to 12 years old) in the academic year of 2018-2019.

In this research, 585 people were selected as a sample group in the form of multi-stage clusters. The research tool was measuring the transformation in middle childhood. The methods of exploratory and confirmatory factor analysis, criterion validity, convergent-divergent validity were used to check the validity of the scale, and reliability was checked with two methods of internal consistency (Cronbach's alpha) and stability of results (retest) with a two-week interval. Exploratory factor analysis using principal component analysis and varimax rotation led to the extraction of 5 factors (empathy, flexibility, intimacy and friendship, physical health and leisure time).

The results of confirmatory factor analysis confirmed the results of exploratory factor analysis. The reliability analysis of the test showed that the Cronbach's alpha coefficient of the subscales is higher than 0.7. Also, in all subscales, the Pearson correlation coefficient between the two implementations was higher than 0.85. The correlation between the subscales of measuring the development in the middle childhood period confirmed the convergent evidence of the questionnaire. Based on the results of the research, research evidence supports the simultaneous examination and consideration of all five subscales of the Persian version of the Middle Childhood Development Assessment.