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Social Psychology and Society
2020. Vol. 11, no. 1, 159–179
doi:10.17759/sps.2020110110
ISSN: 2221-1527 / 2311-7052 (online)

Assessment methodology of involvement in information and communication technology using

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A.N. Tatarko, E.V. Maklasova, Z.K. Lepshokova, V.N. Galyapina, M.V. Efremova, D.I. Dubrov, M.A. Bultseva, E.V. Bushina, A.A. Mironova

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Abstract

Objective of the study is to develop and test a methodology for assessing the degree of involvement in the use of ICT in various areas of life. Background. Modern social and physical environments are saturated with digital incentives that encourage people to get involved in interacting with these environments through information and communication technologies (ICT). However, to this date, there are no psychological instruments that comprehensively assess the involvement of individuals in the use of ICTs. Study design. The study was conducted using a socio-psychological survey. To measure involvement in the use of ICT, an authoring methodology was developed and validated. Participants. The study included two samples. The first sample included 859 respondents (average age 36.1 years; 32% of males). The second — 171 respondents (35% of males; age range from 25 to 44 years). Measurements. For data processing, exploratory and confirmatory factor analyses, Cronbach coefficient alpha, and correlation analysis were applied in the SPSS 19.0 and AMOS 20 programs. Results. Good results of confirmatory factor analysis indicate the presence of reliability-consistency of the methodology. The final version of the methodology includes 4 scales: “Economic actions on the Internet”, “Communication on social networks”, “Using a smartphone”, “A variety of areas of ICT use”. The empirical and external validity of this methodology was also evaluated, as a result of which we received confirmation of these types of validity from the developed methodology. Conclusions. The technique developed by the authors is reliable and valid and can be used both for research and for applied purposes.

General Information

Keywords: communication, information and communication technologies, internet, social networks

Journal rubric: Methodological Tools

Article type: scientific article

DOI: https://doi.org/10.17759/sps.2020110110

Funding. The reported study was funded by RSF, project number 19-18-00169.

For citation: Tatarko A.N., Maklasova E.V., Lepshokova Z.K., Galyapina V.N., Efremova M.V., Dubrov D.I., Bultseva M.A., Bushina E.V., Mironova A.A. Assessment methodology of involvement in information and communication technology using. Sotsial'naya psikhologiya i obshchestvo = Social Psychology and Society, 2020. Vol. 11, no. 1, pp. 159–179. DOI: 10.17759/sps.2020110110. (In Russ., аbstr. in Engl.)

References

 

  1. Soldatova G.U., Rasskazova E.I. Psikhologicheskie modeli tsifrovoi kompetentnosti rossiiskikh podrostkov i roditelei [Psychological models of digital competence of Russian teenagers and parents]. Natsional’nyi psikhologicheskii zhurnal [National psychological journal], 2014, no. 2 (14), pp. 27—35. (In Russ.).
  2. Soldatova G.U., Rasskazova E.I., Nestik T.A. Tsifrovoe pokolenie Rossii: kompetentnost’ i bezopasnost’ [Russia’s digital generation: competence and security]. Moscow: Smysl, 2017. 375 p. (In Russ.).
  3. Soldatova G.U., Shlyapnikov V.N. Tsifrovaya kompetentnost’ rossiiskikh pedagogov [Digital сompetence of Russian school teachers.]. Psikhologicheskaya nauka i obrazovanie [Psychological science and education], 2015. Vol. 20, no. 4, pp. 5—18 (In Russ., аbstr. in Engl.). doi: 10.17759/pse.2015200401.
  4. Soldatova G.U., Nestik T.A., Rasskazova E.I., Zotova E.Yu. Tsifrovaya kompetentnost’ podrostkov i roditelei [Digital competence of teenagers and parents]. Rezul’taty vserossiiskogo issledovaniya [Results of the all-Russian research]. Moscow: Fond Razvitiya Internet, 2013. 144 p. (In Russ.).
  5. Aesaerat K., van Braak J. Gender and socioeconomic related differences in performance based ICT competences. Computers and Education, 2015, no. 84, pp. 8—25.
  6. Aesaert K., van Nijlen D., Vanderlinde R., van Braak J. Direct measures of digital information processing and communication skills in primary education: Using item response theory for the development and validation of an ICT competence scale. Computers and Education, 2014, no. 76, pp. 168—181.
  7. Brayfield A.H., Rothe H.F. An index of job satisfaction. Journal of Applied Psychology, 1951, no. 35 (5), pp. 307—311.
  8. Chen H.-T., Li X. The contribution of mobile social media to social capital and psychological well-being: Examining the role of communicative use, friending and self-disclosure. Computers in Human Behavior, 2017, no. 75, pp. 958—965.
  9. Ellison N.B., Steinfield C., Lampe C. Connection strategies: Social capital implications of Facebook-enabled communication practices. New Media and Society, 2011, no. 13 (6), pp. 873—892.
  10. European Commission. Key competences for lifelong learning. European reference framework. Luxembourg: Office for Official Publications of the European Communities, 2007. 16 p.
  11. Huang L.V., Liu P.L. Ties that work: Investigating the relationships among coworker connections, work-related Facebook utility, online social capital, and employee outcomes. Computers in Human Behavior, 2017, no. 72, pp. 512—524.
  12. International Society for Technology in Education. National educational technology standards for students (2nd ed.) [Electronic resource]. Washington: ISTE, 2007. URL: http://www.iste.org/Content/NavigationMenu/NETS/ForStudents/2007Standards/ NETS_for_Students_2007_Standards.pdf (Accessed 10.01.2020).
  13. Ma H.K., Li S.C., Pow J.W. The relation of Internet use to prosocial and antisocial behavior in Chineese adolescents. Cyberpsychology, behavior and social networking, 2011, no. 14 (3), pp. 123—130.
  14. Markauskaite L. Exploring the structure of trainee teachers’ ICT literacy: the main components and relationships between general cognitive and technical capabilities. Educational Technology Research and Development, 2007, no. 55 (6), pp. 547—572.
  15. Martin A. Literacies for the digital age: preview of part 1. In A. Martin, D. Madigan (ed.) Digital literacies for learning. London: Facet Publishing, 2006, pp. 3—25.
  16. Saeed A., Mudasir M., Ahsan U. Association of demographics, motives and intensity of using Social Networking Sites with the formation of bonding and bridging social capital in Pakistan. Computers in Human Behavior, 2016, no. 57, pp. 107—114.
  17. Warner-Søderholm G., Bertsch A., Sawe E., Lee D., Wolfe T., Meyer J., Engel J., Fatilua U.N. Who trusts social media? Computers in Human Behavior, 2018, no. 81, pp. 303—315.
  18. Williams D. On and off the ’net: scales for social capital in an online era. Journal of Computer-Mediated Communication, 2006, no. 11, pp. 593—628.
  19. Williams L.J., Anderson S.E. Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of Management, 1991, no. 17 (3), pp. 601—617.

 

Information About the Authors

Alexander N. Tatarko, Doctor of Psychology, Professor, Chief Research Fellow, Center for Socio-Cultural Research, National Research University Higher School of Economics, Employee of the Institute of Psychology of the Russian Academy of Sciences, Moscow, Russia, ORCID: https://orcid.org/0000-0001-7557-9107, e-mail: tatarko@yandex.ru

Ekaterina V. Maklasova, Postgraduate Student, Research Intern, Center for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0003-4857-9261, e-mail: emaklasova@hse.ru

Zarina K. Lepshokova, PhD in Psychology, Leading Research Fellow, Center for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0003-3387-8242, e-mail: taimiris@yandex.ru

Victoria N. Galyapina, PhD in Psychology, Associate Professor, Leading Research Fellow, Center for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0003-4122-6455, e-mail: vgalyapina@hse.ru

Maria V. Efremova, PhD in Psychology, Leading Research Fellow, Center for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0001-5327-1451, e-mail: mefremova@hse.ru

Dmitry I. Dubrov, PhD in Psychology, Researcher Fellow, International Laboratory for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0001-8146-4197, e-mail: ddubrov@hse.ru

Mariya A. Bultseva, Junior Research Fellow, Center for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5899-9916, e-mail: mbultseva@hse.ru

Ekaterina V. Bushina, PhD in Psychology, Senior research fellow, Center for Socio-Cultural Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0001-9560-9609, e-mail: evbushina@hse.ru

Anna A. Mironova, PhD in Sociology, Research Fellow, Institute for Social Policy, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0002-7182-4643, e-mail: amironova@hse.ru

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