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使用两步聚类分析和潜在类别分析构建社区居住老年人互联网用户类型学。

Using Two-Step Cluster Analysis and Latent Class Analysis to Construct a Typology of Internet Users Among Community-Dwelling Older People.

作者信息

Campens Jorrit, Vercruyssen Anina, De Keyzer Willem, De Witte Nico

机构信息

Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussel, Belgium.

School of Healthcare, HOGENT University of Applied Sciences and Arts, Ghent, Belgium.

出版信息

J Gerontol Soc Work. 2024 Aug-Sep;67(6):803-824. doi: 10.1080/01634372.2024.2346661. Epub 2024 Apr 26.

DOI:10.1080/01634372.2024.2346661
PMID:38671575
Abstract

This study utilizes data, spanning 2016-2021, from the Belgian Ageing Studies and presents a typology of older internet users based on nine internet activities. Two-step Cluster Analysis and Latent Class Analysis revealed three groups: (1) "Basic users" primarily engage in information search and mailing, (2) "Allrounders" participate in nearly all internet activities and (3) "Selective users" are intermediary, predominantly using the internet for information search, mailing, e-banking and communication with (grand)children. These clusters varied in sociodemographic characteristics, with "Allrounders" being younger, more educated, wealthier and predominantly male, compared to "Selective users" and "Basic users," respectively.

摘要

本研究使用了比利时老龄化研究中2016年至2021年的数据,并基于九项互联网活动提出了老年互联网用户的类型学。两步聚类分析和潜在类别分析揭示了三类用户:(1)“基础用户”主要进行信息搜索和邮件收发;(2)“全能用户”参与几乎所有互联网活动;(3)“选择性用户”处于中间状态,主要利用互联网进行信息搜索、邮件收发、电子银行操作以及与(外)孙辈交流。这些类别在社会人口统计学特征方面存在差异,与“选择性用户”和“基础用户”相比,“全能用户”更年轻、受教育程度更高、更富有,且男性居多。

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