Juvalta Sibylle, Kerry Matthew J, Jaks Rebecca, Baumann Isabel, Dratva Julia
Institute of Health Sciences, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.
University of Basel, Basel, Switzerland.
J Med Internet Res. 2020 Mar 13;22(3):e14492. doi: 10.2196/14492.
Parents often use digital media to search for information related to their children's health. As the quantity and quality of digital sources meant specifically for parents expand, parents' digital health literacy is increasingly important to process the information they retrieve. One of the earliest developed and widely used instruments to assess digital health literacy is the self-reported eHealth Literacy Scale (eHEALS). However, the eHEALS has not been psychometrically validated in a sample of parents. Given the inconsistency of the eHEALS underlying factor structure across previous reports, it is particularly important for validation to occur.
This study aimed to determine the factor structure of the German eHEALS measure in a sample of parents by adopting classic and modern psychometric approaches. In particular, this study sought to identify the eHEALS validity as a unidimensional index as well as the viability for potential subscales.
A cross-sectional design was used across two purposive sampling frames: online and paper administrations. Responses were collected between January 2018 and May 2018 from 703 Swiss-German parents. In addition to determining the sampling characteristics, we conducted exploratory factor analysis of the eHEALS by considering its ordinal structure using polychoric correlations. This analysis was performed separately for online-based and paper-based responses to examine the general factor strength of the eHEALS as a unidimensional index. Furthermore, item response theory (IRT) analyses were conducted by fitting eHEALS to a bifactor model to further inspect its unidimensionality and subscale viability.
Parents in both samples were predominantly mothers (622/703, 88.5%), highly educated (538/703, 76.9%), of Swiss nationality (489/703, 71.8%), and living with a partner (692/703, 98.4%). Factor analyses of the eHEALS indicated the presence of a strong general factor across both paper and online samples, and the Wilcoxon rank-sum test indicated that the eHEALS total sum score was not significantly different between the paper and online samples (P=.12). Finally, the IRT analyses indicated negligible multidimensionality, insufficient subscale reliability after accounting for the eHEALS general factor, and a reduced subset of items that could serve as a unidimensional index of the eHEALS across the paper and online samples.
The German eHEALS evidenced good psychometric properties in a parent-specific study sample. Factor analyses indicated a strong general factor across purposively distinct sample frames (online and paper). IRT analyses validated the eHEALS as a unidimensional index while failing to find support for subscale usage.
家长经常使用数字媒体搜索与孩子健康相关的信息。随着专门为家长设计的数字资源数量和质量的增加,家长的数字健康素养对于处理他们检索到的信息变得越来越重要。最早开发并广泛使用的评估数字健康素养的工具之一是自我报告的电子健康素养量表(eHEALS)。然而,eHEALS尚未在家长样本中进行心理测量学验证。鉴于先前报告中eHEALS潜在因素结构的不一致性,进行验证尤为重要。
本研究旨在通过采用经典和现代心理测量方法,确定德国eHEALS量表在家长样本中的因素结构。特别是,本研究试图确定eHEALS作为单维指标的有效性以及潜在子量表的可行性。
采用横断面设计,通过两个有目的的抽样框架:在线和纸质问卷。在2018年1月至2018年5月期间收集了703名瑞士德语区家长的回复。除了确定抽样特征外,我们通过使用多序相关考虑其有序结构,对eHEALS进行了探索性因素分析。分别对基于在线和纸质的回复进行了此分析,以检验eHEALS作为单维指标的一般因素强度。此外,通过将eHEALS拟合到双因素模型进行项目反应理论(IRT)分析,以进一步检查其单维性和子量表可行性。
两个样本中的家长主要是母亲(622/703,88.5%),受过高等教育(538/703,76.9%)属于瑞士国籍(489/703,71.8%),并且与伴侣同住(692/703,98.4%)。对eHEALS的因素分析表明,在纸质和在线样本中均存在一个强大的一般因素,并且Wilcoxon秩和检验表明,纸质和在线样本之间的eHEALS总分没有显著差异(P = 0.12)。最后,IRT分析表明多维性可忽略不计,在考虑eHEALS一般因素后子量表可靠性不足,并且在纸质和在线样本中,可作为eHEALS单维指标的项目子集有所减少。
在针对家长的研究样本中,德国版eHEALS表现出良好的心理测量特性。因素分析表明,在有目的区分的样本框架(在线和纸质)中存在一个强大的一般因素。IRT分析验证了eHEALS作为单维指标的有效性,但未找到支持使用子量表的依据。