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An Instrument for Measuring Social Participation to Examine Older Adults' Use of the Internet as a Social Platform: Development and Validation Study
University of Skövde, School of Health Sciences. University of Skövde, Digital Health Research (DHEAR). Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID iD: 0000-0001-9870-8477
Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID iD: 0000-0002-1372-5508
Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.ORCID iD: 0000-0003-4312-2246
2021 (English)In: JMIR Aging, E-ISSN 2561-7605, Vol. 4, no 2, article id e23591Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Older people's use of the internet is increasingly coming into focus with the demographic changes of a growing older population. Research reports several benefits of older people's internet use and highlights problems such as various forms of inequality in use within the group. There is a need for consistent measurements to follow the development and use of the internet in this group and to be able to compare groups both within and between countries, as well as follow the changes over time.

OBJECTIVE: The aim of this study was to create an instrument to measure an older person's perception of the benefits of their online social participation, unconnected to specific applications and services. The instrument to measure internet social participation proposed in this paper builds on social participation factors and is a multidimensional construct incorporating both social relations and societal connectedness.

METHODS: A short instrument for measuring social participation over the internet was created. An exploratory factor analysis (EFA) was conducted in a random selection of persons aged 65 years or older (n=193) on 10 initial items. Further validation was made by confirmatory factor analysis (CFA) in the remaining group (n=193).

RESULTS: A 1-factor solution for the social internet score was decided upon after exploratory factor analysis (EFA; based on a random sample of half the data set). None of the questionnaire items were excluded based on the EFA, as they all had high loadings, the lowest being 0.61. The Cronbach α coefficient was .92. The 1-factor solution explained 55% of the variance. CFA was performed and included all 10 questionnaire items in a 1-factor solution. Indices of goodness of fit of the model showed room for improvement. Removal of 4 questions in a stepwise procedure resulted in a 6-item model (χ26=13.985; χ2/degrees of freedom=1.554; comparative fit index=0.992; root mean square error of approximation=0.054; standardized root mean square residual=0.025).

CONCLUSIONS: The proposed instrument can be used to measure digital social participation and coherence with society. The factor analysis is based on a sufficient sample of the general population of older adults in Sweden, and overall the instrument performed as expected.

Place, publisher, year, edition, pages
J M I R Publications , 2021. Vol. 4, no 2, article id e23591
Keywords [en]
aging, connectedness, elderly, instrument, internet, older people, perception, social participation, social platform
National Category
Gerontology, specialising in Medical and Health Sciences
Identifiers
URN: urn:nbn:se:his:diva-20406DOI: 10.2196/23591ISI: 000798385200002PubMedID: 33999004Scopus ID: 2-s2.0-85106487386OAI: oai:DiVA.org:his-20406DiVA, id: diva2:1584469
Note

CC BY 4.0

Available from: 2021-08-12 Created: 2021-08-12 Last updated: 2023-01-09Bibliographically approved

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Anderberg, Peter

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