The psychometric properties of the Bangla Nomophobia Questionnaire

Al-Mamun, F., Griffiths, M.D. ORCID: 0000-0001-8880-6524, Kaggwa, M.M., Mamun, M.A. and Sikder, M.T., 2023. The psychometric properties of the Bangla Nomophobia Questionnaire. Behaviour & Information Technology. ISSN 0144-929X

[img] Text
1838020_Griffiths.pdf - Post-print
Full-text access embargoed until 21 November 2024.

Download (1MB)

Abstract

Nomophobia (the fear of being without a mobile phone or being unable to use it) is an area of growing research interest. The 20-item Nomophobia Questionnaire (NMP-Q) is the most popular instrument to assess nomophobia. However, there is no validated scale to assess nomophobia in Bangladesh. The present study translated and validated the NMP-Q into Bangla. A cross-sectional study using convenience sampling was conducted among 585 university students. The study collected data on socio-demographics, behavioural health, academic attainment, nomophobia, smartphone addiction, and Facebook addiction. Confirmatory factor analysis was performed to validate the scale’s factor structure. The four-factor structure was supported by confirmatory factor analysis (CFA). Cronbach alphas were 0.915 for the total scale, 0.88 for Factor 1 (not being able to communicate), 0.83 for Factor 2 (losing connectedness), 0.71 for Factor 3 (not being able to access information), and 0.78 for Factor 4 (giving up convenience). Convergent validity was supported by significant associations between nomophobia and both smartphone addiction and Facebook addiction. Measurement invariance across gender was supported in multigroup CFA. The findings indicated that the NMP-Q Bangla appears to be a psychometrically valid and reliable instrument and can be used for further studies to assess nomophobia among Bangladeshi students.

Item Type: Journal article
Publication Title: Behaviour & Information Technology
Creators: Al-Mamun, F., Griffiths, M.D., Kaggwa, M.M., Mamun, M.A. and Sikder, M.T.
Publisher: Taylor & Francis (Routledge)
Date: 21 November 2023
ISSN: 0144-929X
Identifiers:
NumberType
10.1080/0144929x.2023.2283624DOI
1838020Other
Rights: Copyright © 2023 Informa UK Limited. This is an Accepted Manuscript of an article published by Taylor & Francis in Behaviour & Information Technology on 21 Nov 2023, available at: https://doi.org/[10.1080/0144929X.2023.2283624.
Divisions: Schools > School of Social Sciences
Record created by: Linda Sullivan
Date Added: 23 Nov 2023 09:10
Last Modified: 23 Nov 2023 09:10
URI: https://irep.ntu.ac.uk/id/eprint/50421

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year