sadegh bakhtiary javan

Self-regulation can refer to a dimension of temperament (i.e., effortful control), to a set of cognitive processes involved in higher-order control (i.e., executive functions), or to the physiological regulation of the stress response. Effortful control describes the ability to voluntarily manage attention and inhibit or activate behavior as a need to adapt. The purpose of this study was to investigate the psychometric properties of the self-regulation questionnaire.

The statistical population of this research are the students who were living in Sanandaj city in 2019. The samples consisted of 231 students (92 females and 139 males) who were selected using cluster random sampling method and received a self-regulation questionnaire.

The results of exploratory and confirmatory factor analysis confirmed the structure of the four self-regulating factors as one of the executive functions. Also, the convergent validity of the self-regulation questionnaire was assessed through the simultaneous implementation of the Bouffard questionnaire. The reliability coefficients of the self-adjusted questionnaire for planning, monitoring, controlling, reflection, and total questionnaires were obtained by Cronbach's alpha coefficient of 0/82, 0/61, 0/77, 0/78, and 0/90, respectively.

Finally, concerning desirable validity and reliability coefficients, ease of implementation, scoring, and interpretation, as well as short response time, it can be stated that this questionnaire is very important in cognitive assessments to examine self-regulation as one of the executive functions.

Internet addiction can be explained by various factors, including executive functions as multifunctional neuropsychological structures.

The purpose of this study is to predict internet addiction through executive functions among students of Allameh Tabatabachr('39')i University.

The present study is a correlational study and its statistical population consists of students of Allameh Tabataba’i University who have studied in the second semester of the 2019 academic year. The statistical sample of the study included 206 Undergraduate Student who were selected by available sampling in this study. In order to measure Internet addiction, the Young Internet Addiction Questionnaire was used and to evaluate the executive functions Go/No Go Task, N-Back Task and Wisconsin Card Classification Task (WCST) were used. Correlation and regression analysis were used to analyze the data. Data were analyzed using SPSS 25 statistical software.  

The results of the analyzed data show that there was no relationship between working memory components (N-Back Test Series n2) and Internet addiction (P<0.05). However, there is a significant negative relationship between internet addiction (first-series N-BACK), working memory and disinhibition and a significant positive relationship between internet addiction and cognitive flexibility. (P<0.05)

The results of this study showed that executive functions can predict internet addiction in students. Executive functions can also be considered as one of the contributing factors to the persistence of Internet addiction.