Short version of the self-control in communication questionnaire: reliability, validity, factor structure
DOI: 10.23951/2307-6127-2024-3-124-135
The study of self-control in communication is relevant due to the negative impact of excessive use of smartphones and social networks on “live” communication. At the same time, research actively uses the “Self-Control in Communication Scale” created 40 years ago by M. Snyder. With regard to longdeveloped methods, there is a belief that they need to be re-tested, since the answers of respondents today may differ significantly from the answers of their long-standing predecessors, on whose answers these questionnaires were created many years ago. The goal of reducing questionnaires is also relevant, since large questionnaires cause difficulties in collecting materials and worse quality of the responses received. The objectives of this study are: 1) to develop a reliable and valid shortened version of the Self-Control in Communication Questionnaire; 2) construction of a factor model of self-control in communication. Baseline data for the study were collected through an online survey of 1,911 respondents. As a result of the study, a short version of the social self-control questionnaire consisting of 8 questions was constructed. The short version of the questionnaire satisfies the basic criteria of validity and reliability and has better psychometric properties than its original version. A consistent two-factor model of self-control in communication has been constructed.
Keywords: self-control questionnaire in communication, short version of the questionnaire, reliability, validity, factor model, psychometric characteristics
References:
1. Sheynov V. P. Svyazi zavisimosti ot smartfona s sostoyaniyami i svoystvami lichnosti [Connections between smartphone addiction and personality states and properties]. Zhurnal Belorusskogo gosudarstvennogo universiteta. Sociologiya – Journal of the Belarusian State University. Sociology, 2020, no. 4, pp. 120−127 (in Russian).
2. Snyder M. Self-monitoring of expressive behavior. Journal of Personality and Social Psychology, 1974, vol. 30, pp. 526–537.
3. Snyder M., Gangestad S. On the nature of self-monitoring: Matters of assessment, matters of validity. Journal of personality and social psychology, 1986, vol. 51 (1), pp. 125–139. DOI: 10.1037/0022-3514.51.1.125
4. Herzog A. R., Bachman J. G. Effects of Questionnaire Length on Response Quality. The Public Opinion Quarterly, 1981, vol. 45 (4), pp. 549–559. URL: http://www.jstor.org/stable/2748903 (accessed 1 November 2023).
5. Galesic M., Bosnjak M. Effects of questionnaire length on participation and indicators of response quality in a web survey. Public Opinion Quarterly, 2009, vol. 73 (2), pp. 349–360.
6. Prakticheskaya psikhodiagnostika. Metodiki i testy [Practical psychodiagnostics. Methods and tests]. Ed. D. Ya. Raygorodskiy. Samara, Bakhrakh-M Publ., 2022. 672 p. (in Russian).
7. Sheynov V. P. Adaptatsiya i validizatsiya oprosnika “Shkala zavisimosti ot smartfona” dlya russkoyazychnogo sotsiuma [Adaptation and validation of the questionnaire “Smartphone addiction scale” for the Russianspeaking society]. Sistemnaya psikhologiya i sotsiologiya – System Psychology and Sociology, 2020, no. 3 (35), pp. 75–84 (in Russian).
8. Sheynov V. P., Devitsyn A. S. Razrabotka nadyozhnogo i validnogo oprosnika zavisimosti ot sotsial’nykh setey [Development of a Reliable and Valid Social Media Addiction Inventory]. Sistemnaya psikhologiya i sotsiologiya – Systemic Psychology and Sociology, 2021, no. 2 (38), pp. 41–55 (in Russian). DOI: 10.25688/2223-6872.2021.38.2.04
9. Gordeeva T. O., Sychev O. A., Osin E. N. Oprosnik “Shkaly akademicheskoy motivatsii” [Questionnaire “Academic Motivation Scales”]. Psikhologicheskiy zhurnal – Psychological Journal, 2014, vol. 35, no 4, pp. 96–107 (in Russian).
10. Briggs S. R., Cheek J. M., Buss A. H. An analysis of the self-monitoring scale. Journal of Personality and Social Psychology, 1980, vol. 38, pp. 679–686.
11. Snyder M., Gangestad S. Self-monitoring: Appraisal and reappraisal. Psychological Bulletin, 2000, vol. 126 (4), pp. 530–555.
12. Kim J., Hahn K. H. The effects of self-monitoring tendency on young adult consumers’ mobile dependency. Computers in Human Behavior, 2015, vol. 50, pp. 169–176.
13. Abhari K., Klase M., Koobchehr F., Olivares F., Pesavento M., Sosa L., Vaghefi I. Toward a theory of digital mindfulness: A case of smartphone-based self-monitoring. International Conference on Human-Computer Interaction, 2021, pp. 549–561.
14. Shen E., Shen J., Chia T. L. Development of an app to support self-monitoring smartphone usage and healthcare behaviors in daily life. In: Proceedings of the 3rd International Conference on Big Data and Internet of Things, 2019, pp. 29–34.
15. Abhari K., Vaghefi I. Screen time and productivity: an extension of goal-setting theory to explain optimum smartphone use. AIS Transactions on Human-Computer Interaction, 2022, vol. 14 (3), pp. 254–288.
16. Sahranç Ü. A Study on the Relationship Between Social Media Addiction and Self-Regulation Processes among University Students. International Journal of Psychology and Educational Studies, 2021, vol. 8 (4), pp. 96–109.
17. Pornsakulvanich V. Excessive use of Facebook: The influence of self-monitoring and Facebook usage on social support. Kasetsart Journal of Social Sciences, 2018, vol. 39 (1), pp. 116–121.
18. Dogan H., Norman H., Alrobai A., Jiang N., Nordin N., Adnan A. A web-based intervention for social media addiction disorder management in higher education: Quantitative survey study. Journal of medical Internet research, 2019, vol. 21 (10), e14834.
19. Kleinbaum A. M., Jordan A. H., Audia P. G. An altercentric perspective on the origins of brokerage in social networks: How perceived empathy moderates the self-monitoring effect. Organization Science, 2015, vol. 26 (4), pp. 1226–1242.
20. Varnali K., Toker A. Self-disclosure on social networking sites. Social Behavior and Personality: an international journal, 2015, vol. 43 (1), pp. 1–13.
21. Sheynov V. P., Nizovskikh N. A., Belykh T. V., Devitsyn A. S. Svyazi zavisimosti ot smartfona s lichnostnymi kachestvami i svoystvami belorusov i rossiyan [Connections between smartphone addiction and personal qualities and properties of Belarusians and Russians]. Rossiyskiy psikhologicheskiy zhurnal – Russian Psychological Journal, 2022, vol. 19, no. 2, pp. 60–74 (in Russian).
22. Sheynov V. P., Belykh T. V., Nizovskikh N. A., Devitsyn A. S. Lichnostnyye korrelyaty zavisimosti ot sotsial’nykh setey belorusskikh i rossiyskikh muzhchin i zhenshchin [Personality correlates of dependence on social networks of Belarusian and Russian men and women]. Sotsial’naya psikhologiya i obshchestvo – Social Psychology and Society, 2023, vol. 14, no. 1, pp. 132–149 (in Russian).
23. Sheynov V. P., Devitsyn A. S. Trekhfaktornaya model’ zavisimosti ot sotsial’nykh setey [Three-factor model of social media addiction]. Rossiyskiy psikhologicheskiy zhurnal – Russian Psychological Journal, 2021, vol. 18, no. 3, pp. 145–158 (in Russian).
24. Sheynov V. P. Razrabotka testa assertivnosti, udovletvoryayushchego trebovaniyam nadezhnosti i validnosti [Development of an assertiveness test that meets the requirements of reliability and validity]. Voprosy psikhologii – Questions of psychology, 2014, no. 2, pp. 107–116 (in Russian).
25. Sheynov V. P. Assertivnoye povedeniye: otsenki i svoystva [Assertive behavior: assessments and properties]. Rossiyskiy psikhologicheskiy zhurnal – Russian psychological journal, 2014, vol. 11, no. 4, pp. 55–67 (in Russian).
26. Sheynov V. P. Determinanty assertivnogo povedeniya [Determinants of assertive behavior]. Psikhologicheskiy zhurnal – Psychological journal, 2015, vol. 36, no. 3, pp. 28–37 (in Russian).
27. Sheynov V. P. Vzaimosvyazi viktimizatsii s ekstraversiey, neyrotizmom i psikhologicheskim polom [Relationships between victimization and extraversion, neuroticism and psychological gender]. Rossiyskiy psikhologicheskiy zhurnal – Russian Psychological Journal, 2019, vol. 16, no. 2, pp. 81–102 (in Russian).
28. Sheynov V. P. Developing the technique for assessing the degree of victimization IN ADULTS. Russian Psychological Journal, 2018, no. 2/1, pp. 69–85.
29. Zhu M., Doo M. Y. The relationship among motivation, self-monitoring, self-management, and learning strategies of MOOC learners. Journal of Computing in Higher Education, 2022, pp. 1–22.
30. Chang M. M. Effects of self-monitoring on web-based language learner’s performance and motivation. Calico Journal, 2010, vol. 27 (2), pp. 298–310.
31. Chang M. M. Enhancing web‐based language learning through self‐monitoring. Journal of Computer Assisted Learning, 2007, vol. 23 (3), pp. 187–196.
32. Zhu M., Bonk C.J., Doo M.Y. Self-directed learning in MOOCs: Exploring the relationships among motivation, self-monitoring, and self-management. Educational Technology Research and Development, 2020, vol. 68, pp. 2073–2093.
33. Kanani Z., Adibsereshki N., Haghgoo H. A. The effect of self-monitoring training on the achievement motivation of students with dyslexia. Journal of Research in Childhood Education, 2017, vol. 31 (3), pp. 430–439.
Issue: 3, 2024
Series of issue: Issue 3
Rubric: PSYCHOLOGY
Pages: 124 — 135
Downloads: 188