Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context

Almira R. Bayanova; Alexey A. Chistyakov; Maria O. Timofeeva; Vladimir V. Nasonkin; Tatiana I. Shulga; Vitaly F. Vasyukov

doi:10.30935/cedtech/11478

Almira R. Bayanova ¹ ^* , Alexey A. Chistyakov ², Maria O. Timofeeva ³, Vladimir V. Nasonkin ⁴, Tatiana I. Shulga ⁵, Vitaly F. Vasyukov ⁶ ⁷

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CONT ED TECHNOLOGY, Volume 14, Issue 1, Article No: ep342

https://doi.org/10.30935/cedtech/11478

Submitted: 16 November 2021, Published Online: 03 January 2022

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Abstract

Smartphones facilitate communication, education, information, and entertainment through a diverse array of mobile applications. Excessive smartphone use has become a significant societal issue. The research community has explored both the positive and negative consequences of mobile phone use. The phrase “problematic smartphone use” refers to an excessive pattern of smartphone use that may have negative consequences. Smartphone addiction may present with symptoms that are unique from Internet addiction. Severe sadness, anxiety, and tension are all associated with problematic smartphone use. Numerous negative consequences are discussed, including mental health problems, diminished physical fitness, and poor academic achievement. According to the findings of the literature analysis, there is no inventory that evaluates smartphone addiction in the context of Russia. The goal of this study is to examine the psychometric characteristics of the smartphone addiction inventory (SPAI) in a Russian context. Several Russian Federation universities performed the study during the autumn semester of the 2020-2021 academic year. To enhance the inventory, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized on 209 students. As a result, research on the validity and reliability of the Smartphone Addiction Inventory were done in the Russian setting. The research revealed a brief inventory of 14 items and three factors (functional impairment, anxiety, and compulsive behavior).

Keywords: smartphone addiction inventory, psychometric properties, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), university students

References

Agarwal, V., & Kar, S. K. (2015). Technology addiction in adolescents. Journal of Indian Association for Child and Adolescent Mental Health, 11(3), 170-174.
Akhmadieva, R. S., Mikhaylovsky, M. N., Simonova, M. M., Nizamutdinova, S. M., Prokopyev, A. I., & Ostanina, S. S. (2021). Public relations in organizations in sportsman students view: Development of management tools or healthy and friendly relations formation. Journal of Human Sport and Exercise, 16(3proc), 1272-1279. https://doi.org/10.14198/jhse.2021.16.Proc3.43
Anstey Watkins, J. O. T., Goudge, J., Gómez-Olivé, F. X., & Griffiths, F. (2018). Mobile phone use among patients and health workers to enhance primary healthcare: A qualitative study in rural South Africa. Social Science and Medicine, 198, 139-147. https://doi.org/10.1016/j.socscimed.2018.01.011
Arrivillaga, C., Rey, L., & Extremera, N. (2020). Adolescents’ problematic internet and smartphone use is related to suicide ideation: Does emotional intelligence make a difference? Computers in Human Behavior, 110, 106375. https://doi.org/10.1016/j.chb.2020.106375
ASAM. (2019). ASAM definition of addiction. https://www.asam.org/Quality-Science/definition-of-addiction
Awofala, A. O. (2020). Investigating nomophobia as a predictor of smartphone addiction among Nigerian pre-service mathematics teachers. Indonesian Journal of Informatics Education, 4(2), 42. https://doi.org/10.20961/ijie.v4i2.40021
Bauer, M., Glenn, T., Geddes, J., Gitlin, M., Grof, P., Kessing, L. V., Monteith, S., Faurholt-Jepsen, M., Severus, E., & Whybrow, P. C. (2020). Smartphones in mental health: A critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders, 8(1), 1-19. https://doi.org/10.1186/s40345-019-0164-x
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156-162. https://doi.org/10.1007/s40429-015-0054-y
Busch, P. A., & McCarthy, S. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114, 106414. https://doi.org/10.1016/j.chb.2020.106414
Cha, S. S., & Seo, B. K. (2018). Smartphone use and smartphone addiction in middle school students in Korea: Prevalence, social networking service, and game use. Health Psychology Open, 5(1), 1-15. https://doi.org/10.1177/2055102918755046
Chen, J., Liang, Y., Mai, C., Zhong, X., & Qu, C. (2016). General deficit in inhibitory control of excessive smartphone users: Evidence from an event-related potential study. Frontiers in Psychology, 7, 1-9. https://doi.org/10.3389/fpsyg.2016.00511
Chhabra, R., Verma, S., & Rama Krishna, C. (2019). Detecting aggressive driving behavior using mobile smartphone. In Proceedings of 2nd International Conference on Communication, Computing and Networking (pp. 513-521). https://doi.org/10.1007/978-981-13-1217-5_49
Ching, S. M., Yee, A., Ramachandran, V., Lim, S. M. S., Sulaiman, W. A. W., Foo, Y. L., & Hoo, F. K. (2015). Validation of a Malay version of the smartphone addiction scale among medical students in Malaysia. PLoS ONE, 10(10), 1-11. https://doi.org/10.1371/journal.pone.0139337
Choi, C., Hums, M. A., & Bum, C. H. (2018). Impact of the family environment on juvenile mental health: eSports online game addiction and delinquency. International Journal of Environmental Research and Public Health, 15(12), 2850. https://doi.org/10.3390/ijerph15122850
Contractor, A. A., Weiss, N. H., Tull, M. T., & Elhai, J. D. (2017). PTSD’s relation with problematic smartphone use: Mediating role of impulsivity. Computers in Human Behavior, 75, 177-183. https://doi.org/10.1016/j.chb.2017.05.018
Deng, M., Wang, S., Guan, W., & Wang, Y. (2017). The development and initial validation of a questionnaire of inclusive teachers’ competency for meeting special educational needs in regular classrooms in China. International Journal of Inclusive Education, 21(4), 416-427. https://doi.org/10.1080/13603116.2016.1197326
De-Sola, J., Talledo, H., Rubio, G., & de Fonseca, F. R. (2017). Development of a mobile phone addiction craving scale and its validation in a Spanish adult population. Frontiers in Psychiatry, 8, 90. https://doi.org/10.3389/fpsyt.2017.00090
Edwards, J. R., & Bagozzi, R. P. (2000). On the nature and direction of relationships between constructs and measures. Psychological Methods, 5(2), 155-174. https://doi.org/10.1037//1082-989x.5.2.155
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251-259. https://doi.org/10.1016/j.jad.2016.08.030
Felisoni, D. D., & Godoi, A. S. (2018). Cell phone usage and academic performance: An experiment. Computers and Education, 117, 175-187. https://doi.org/10.1016/j.compedu.2017.10.006
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009). Behavior change interventions delivered by mobile telephone short-message service. American Journal of Preventive Medicine, 36(2), 165-173. https://doi.org/10.1016/j.amepre.2008.09.040
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. McGraw-Hill.
Griffiths, M. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. https://doi.org/10.1080/14659890500114359
Gutiérrez, J. D. S., de Fonseca, F. R., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7, 175. https://doi.org/10.3389/fpsyt.2016.00175
Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson Education, Inc.
Harris, B., Regan, T., Schueler, J., & Fields, S. A. (2020). Problematic mobile phone and smartphone use scales: A systematic review. Frontiers in Psychology, 11, 672. https://doi.org/10.3389/fpsyg.2020.00672
Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7(2), 191-205. https://doi.org/10.1177/1094428104263675
Horvath, J., Mundinger, C., Schmitgen, M. M., Wolf, N. D., Sambataro, F., Hirjak, D., Kubera, K. M., Koenig, J., & Wolf, R. C. (2020). Structural and functional correlates of smartphone addiction. Addictive Behaviors, 105, 1-7. https://doi.org/10.1016/j.addbeh.2020.106334
Huckins, J. F., da Silva, A. W., Wang, W., Hedlund, E., Rogers, C., Nepal, S. K., Wu, J., Obuchi, M., Murphy, E. I., Meyer, M. L., Wagner, D. D., Holtzheimer, P. E., & Campbell, A. T. (2020). Mental health and behavior of college students during the early phases of the COVID-19 pandemic: Longitudinal smartphone and ecological momentary assessment study. Journal of Medical Internet Research, 22(6), e20185. https://doi.org/10.2196/20185
Jackson, D. L., Gillaspy, J. A., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14(1), 6-23. https://doi.org/10.1037/a0014694
Kline, T. J. B. (2005). Psychological testing: A practical approach to design and evaluation. SAGE. https://doi.org/10.4135/9781483385693
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31(1), 343-350. https://doi.org/10.1016/j.chb.2013.10.049
Lin, Y. H., Chang, L. R., Lee, Y. H., Tseng, H. W., Kuo, T. B. J., & Chen, S. H. (2014). Development and validation of the smartphone addiction inventory (SPAI). PLoS ONE, 9(6), e98312. https://doi.org/10.1371/journal.pone.0098312
Lopez-Fernandez, O. (2017). Short version of the smartphone addiction scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors, 64, 275-280. https://doi.org/10.1016/j.addbeh.2015.11.013
Marcolino, M. S., Oliveira, J. A. Q., D’Agostino, M., Ribeiro, A. L., Alkmim, M. B. M., & Novillo-Ortiz, D. (2018). The impact of mhealth interventions: Systematic review of systematic reviews. JMIR MHealth and UHealth, 6(1), e23. https://doi.org/10.2196/mhealth.8873
Mikhaylovsky, M. N., Lopatkova, I. V., Komarova, N. M., Rueva, E. O., Tereschuk, K. S., & Emelyanenkova, A. V. (2019). Cyberbulling as a new form of a threat: A physiological, psychological and medicinal aspects. Electronic Journal of General Medicine, 16(6), em161. https://doi.org/10.29333/ejgm/114268
Mitchell, L., & Hussain, Z. (2018). Predictors of problematic smartphone use: An examination of the integrative pathways model and the role of age, gender, impulsiveness, excessive reassurance seeking, extraversion, and depression. Behavioral Sciences, 8(8), 74. https://doi.org/10.3390/bs8080074
O’Dea, S. (2021). Number of smartphone users from 2016 to 2021. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/
Oviedo-Trespalacios, O., King, M., Haque, M. M., & Washington, S. (2017). Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies. PLoS ONE, 12(9), e0183361. https://doi.org/10.1371/journal.pone.0183361
Pavia, L., Cavani, P., Di Blasi, M., & Giordano, C. (2016). Smartphone addiction inventory (SPAI): Psychometric properties and confirmatory factor analysis. Computers in Human Behavior, 63, 170-178. https://doi.org/10.1016/j.chb.2016.05.039
Rezaee, F., & Pedret, A. (2018). A critical review of Silicon Valley solutions for smartphone addiction. Ideology, 3(3), 189-196. http://digitaldetox.org
Roberts, J. A., Pullig, C., & Manolis, C. (2015). I need my smartphone: A hierarchical model of personality and cell-phone addiction. Personality and Individual Differences, 79, 13-19. https://doi.org/10.1016/j.paid.2015.01.049
Schumacker, R. E., & Lomax, R. G. (2004). A beginner´s guide to structural equation modeling (2nd Ed.). Lawrence Erlbaum Associates, Inc. https://doi.org/10.4324/9781410610904
Stanislaus, S., Vinberg, M., Melbye, S., Frost, M., Busk, J., Bardram, J. E., Kessing, L. V., & Faurholt-Jepsen, M. (2020). Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals. International Journal of Bipolar Disorders, 8(1), 32. https://doi.org/10.1186/s40345-020-00195-0
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273-1296. https://doi.org/10.1007/s11165-016-9602-2
The Jamovi Project. (2021). Jamovi ((Version 1.6)). https://www.jamovi.org/
Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - A prospective cohort study. BMC Public Health, 11, 66. https://doi.org/10.1186/1471-2458-11-66
Vezzoli, M., Colombo, A., Marano, A., Zoccatelli, G., & Zogmaister, C. (2021). Test for mobile phone dependence: Psychometric properties and confirmatory factor analysis. Current Psychology. https://doi.org/10.1007/s12144-021-01449-5
Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219-246. https://doi.org/10.1177/0095798418771807
Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care, 8(3), 1-13. https://doi.org/10.33151/ajp.8.3.93
Yates, A. (1987). Multivariate exploratory data analysis: A perspective on exploratory factor analysis. State University of New York Press. https://doi.org/10.2307/1269132
Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79-94. https://doi.org/10.20982/tqmp.09.2.p079
Young, K. (2009). Internet addiction: Diagnosis and treatment considerations. Journal of Contemporary Psychotherapy, 39(4), 241-246. https://doi.org/10.1007/s10879-009-9120-x
Yu, C.-Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes [PhD thesis, University of California]. http://repositorio.utn.edu.ec/bitstream/123456789/1207/3/PG 175_Capitulo II.pdf

Citation

Bayanova, A. R., Chistyakov, A. A., Timofeeva, M. O., Nasonkin, V. V., Shulga, T. I., & Vasyukov, V. F. (2022). Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context. Contemporary Educational Technology, 14(1), ep342. https://doi.org/10.30935/cedtech/11478

Bayanova, A. R., Chistyakov, A. A., Timofeeva, M. O., Nasonkin, V. V., Shulga, T. I., and Vasyukov, V. F. (2022). Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context. Contemporary Educational Technology, 14(1), ep342. https://doi.org/10.30935/cedtech/11478

Bayanova AR, Chistyakov AA, Timofeeva MO, Nasonkin VV, Shulga TI, Vasyukov VF. Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context. CONT ED TECHNOLOGY. 2022;14(1), ep342. https://doi.org/10.30935/cedtech/11478

Bayanova, Almira R., Alexey A. Chistyakov, Maria O. Timofeeva, Vladimir V. Nasonkin, Tatiana I. Shulga, and Vitaly F. Vasyukov. "Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context". Contemporary Educational Technology 2022 14 no. 1 (2022): ep342. https://doi.org/10.30935/cedtech/11478

Bayanova, Almira R. et al. "Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context". Contemporary Educational Technology, vol. 14, no. 1, 2022, ep342. https://doi.org/10.30935/cedtech/11478

Bayanova AR, Chistyakov AA, Timofeeva MO, Nasonkin VV, Shulga TI, Vasyukov VF. Psychometric Properties of Smartphone Addiction Inventory (SPAI) in Russian Context. CONT ED TECHNOLOGY. 2022;14(1):ep342. https://doi.org/10.30935/cedtech/11478