Anderberg Peter, Abrahamsson Linda, Berglund Johan Sanmartin
Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden.
Department of Health Sciences, University of Skovde, Skovde, Sweden.
JMIR Aging. 2021 May 17;4(2):e23591. doi: 10.2196/23591.
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.
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.
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).
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 (χ=13.985; χ/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).
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.
随着老年人口的增长这一人口结构变化,老年人对互联网的使用日益受到关注。研究报告了老年人使用互联网的诸多益处,并强调了该群体内部存在的各种使用不平等形式等问题。需要有一致的衡量标准来跟踪这一群体对互联网的使用和发展情况,以便能够在国内和国家之间比较不同群体,并跟踪随时间的变化。
本研究的目的是创建一种工具,用于衡量老年人对其在线社交参与益处的认知,且不涉及特定的应用程序和服务。本文提出的用于衡量互联网社交参与的工具基于社交参与因素构建,是一个包含社会关系和社会联系的多维结构。
创建了一个用于衡量互联网社交参与的简短工具。对随机抽取的65岁及以上人群(n = 193)的10个初始项目进行了探索性因素分析(EFA)。在其余群体(n = 193)中通过验证性因素分析(CFA)进行了进一步验证。
在探索性因素分析(基于数据集一半的随机样本)后,确定了社交互联网得分的单因素解决方案。基于探索性因素分析,问卷项目均未被排除,因为它们的载荷都很高,最低为0.61。克朗巴哈α系数为0.92。单因素解决方案解释了55%的方差。进行了验证性因素分析,并将所有10个问卷项目纳入单因素解决方案。模型的拟合优度指标显示仍有改进空间。通过逐步程序删除4个问题后得到了一个6项模型(χ = 13.985;χ/自由度 = 1.554;比较拟合指数 = 0.992;近似均方根误差 = 0.054;标准化均方根残差 = 0.025)。
所提出的工具可用于衡量数字社交参与以及与社会的连贯性。因素分析基于瑞典老年成年人总体的足够样本,总体而言该工具表现符合预期。