Ferizaj Drin, Perotti Luis, Dahms Rebecca, Heimann-Steinert Anika
Department of Geriatrics and Medical Gerontology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Deutschland.
Z Gerontol Geriatr. 2024 May;57(3):227-234. doi: 10.1007/s00391-023-02225-9. Epub 2023 Sep 5.
In addition to sociodemographic factors, action-theoretical constructs, such as technology acceptance and competence play an important role in technology use.
This study aimed to examine the associations between technology use, sociodemographic factors, action-theoretical constructs, and technology interest.
Data were collected from 585 study participants aged over 60 years from 14 surveys conducted between 2014 and 2020. A structural equation model was used to explain the relationships.
The structural equation model with covariates of survey year, age, gender, and education (n = 585) yielded the following fit indices: comparative fit index (CFI) = 0.918, Tucker-Lewis index (TLI) = 0.894, Root Mean Square Error of Approximation (RMSEA) = 0.056 [95 % confidence interval: 0.050-0.063], Standardized Root Mean Square Residual (SRMR) = 0.079, χ2 = 3051.936 (p < 0.001), χ2/degrees of freedom (df) = 18.499. The strongest associations with technology use were found for technology acceptance and competence. Additionally, technology competence showed a significant association with technology interest. Gender and technology interest were not related to technology use but it was observed that men had higher levels of technology acceptance, control, competence, and interest.
Taking technology competence beliefs into account plays a crucial role in understanding the technology usage and interest of older individuals. Additionally, gender-specific differences in the theoretical constructs of action and interest in technology have been revealed in the context of the digital divide.
除社会人口统计学因素外，行动理论结构，如技术接受度和能力，在技术使用中起着重要作用。
本研究旨在探讨技术使用、社会人口统计学因素、行动理论结构和技术兴趣之间的关联。
数据来自2014年至2020年间进行的14项调查中的585名60岁以上的研究参与者。使用结构方程模型来解释这些关系。
纳入调查年份、年龄、性别和教育程度作为协变量的结构方程模型（n = 585）得出以下拟合指数：比较拟合指数（CFI）= 0.918，塔克-刘易斯指数（TLI）= 0.894，近似误差均方根（RMSEA）= 0.056 [95%置信区间：0.050 - 0.063]，标准化均方根残差（SRMR）= 0.079，χ2 = 3051.936（p < 0.001），χ2/自由度（df）= 18.499。与技术使用关联最强的是技术接受度和能力。此外，技术能力与技术兴趣显著相关。性别与技术兴趣与技术使用无关，但观察到男性在技术接受度控制、能力和兴趣方面水平更高。
考虑技术能力信念在理解老年人的技术使用和兴趣方面起着至关重要的作用。此外，在数字鸿沟背景下，揭示了行动理论结构和技术兴趣方面的性别差异。
