The aim of this study was to investigate the psychometric properties of the online self-regulated learning questionnaire (Lau, 2021) in students of Tehran universities. The Chinese version of the self-regulated online learning questionnaire (COSRQ) consists of seven subscales: goal setting, time management, environmental structuring, effort regulation, cognitive/ monitoring strategies, help seeking, and self-evaluation. Participants in this study were 453 students of different stages of public universities who were selected by random sampling. Participants responded to questionnaires on self-regulated online learning questionnaire (COSRQ), academic engagement (RAEQ), motivated strategies for learning questionnaire (MSLQ), and the academic procrastination scale (PASS), provided online. The psychometric adequacy of the questionnaire was assessed in several steps including item analysis, exploratory factor analysis, confirmatory factor analysis, convergent validity, divergent validity and reliability coefficient. The results of item analysis showed that all items of the questionnaire are sufficient in terms of descriptive features. Exploratory factor analysis by identifying 5 items that were in the unrelated factor led to the identification of six factors. Confirmatory factor analysis also confirmed this six-factor structure. The results showed that this questionnaire has convergent and divergent validity and good reliability

Objectives: The aim of the current study was to assess the psychometric properties of Online Game Addiction Inventory in under graduate students of Shahid Chamran University of Ahwaz.Method: Of all under graduate students in Shahid Chamran University of Ahwaz during 2014-15 academic year, 300 under graduate students from Shahid Chamran University were selected using multistage random sampling method. Samples completed Online Game Addiction Inventory and Young Internet Addiction Inventory. Cronbach’s alpha was used for examining the internal consistency of Online Game Addiction Inventory. The study tool was validated using construct, criterion and convergent validity.Results: Cronbach’s alpha was calculated 0.95 for this inventory under study. Construct validity confirmed and principal component analysis with Varimax rotation identified two factors, namely, ethical and mood problems and education and employment problems, respectively. These two factors accounted for 57% of the total variance. Independent t-test results revealed significant difference on the mean scores of online game addiction between the two addicted and normal groups. The results showed a significant difference in a rate of online game addiction between two groups. Convergent validity was tested by administration of Online Game Addiction Inventory and Young Internet Addiction Inventory concurrently; correlation coefficient was obtained 0.7.Conclusion: Current study results showed appropriate psychometric features of Online Game Addiction Inventory. Therefore, it can be used for examining online game addiction in Iran.

academic persistence indicates the continuity and behavioral commitment to education and learning that the existence of such a tool was needed in the country. The present study was conducted with the aim of investigating the psychometric properties of the academic persistence scale. This research is a type of descriptive research that examines the characteristics of psychometrics with a practical purpose. The statistical population of the research consisted of all the students of the first secondary school in Qom city who were studying in the academic year of 1400-1401. A number of 355 students were included in the sample using a multi-stage cluster random method and completed the academic persistence questionnaire of Talib et al. (2018). After collecting the data, they were analyzed using SPSS22 and AMOS22 statistical software and exploratory factor analysis and reliability analysis. The results showed that the extracted factor explains 79.93% of the variable of academic persistence. Also, the reliability of the tool was equal to 0.994 using Cronbach's alpha coefficient and 0.989 for the first half and 0.988 for the second half using the two halves method. According to the results of exploratory factor analysis and reliability analysis, the Persian version of the academic persistence questionnaire is considered an efficient tool.

The purpose of this article is to investigate the quality of the relationship in online business on customer engagement in different stages of the relationship life cycle. For this purpose, users of online transportation services in the city of Urmia were selected as a statistical population and 600 customers participated in the research by completing a questionnaire. Convenience sampling method was use to select the statistical sample. The research hypotheses were tested using structural equation modeling technique and AMOS software. Findings showed that the quality of online relationship has a positive effect on all four dimensions of customer engagement value (lifetime value, impact value, customer knowledge value and customer referral value). Also, the effect of online relationship quality on customer lifetime value and the value of impact at different stages of the relationship life cycle are different.