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内部结构、不变性与拉施分析:工作-生活融合模糊量表

Internal Structure, Invariance, and Rasch Analyses: A Work-Life Integration-Blurring Scale.

作者信息

Hincapié Pinzón Juanita, da Silva Andressa Melina Becker, da Silva Monique Cristielle Silva, de Lara Machado Wagner, Moret-Tatay Carmen, de Oliveira Manoela Ziebell

机构信息

Faculty of Psychology, Universidad Católica de Valencia San Vicente Mártir, Sede Padre Jofré, Av., Ilustración nº2, 46100 Valencia, Spain.

Postgraduate Psychology Program, School of Health Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre 90619-900, RS, Brazil.

出版信息

Healthcare (Basel). 2022 Oct 28;10(11):2142. doi: 10.3390/healthcare10112142.

Abstract

The aim of the study was to develop a role blurring (RB) tool to measure work-life integration in different contexts. A final number of 19 items was examined. Psychometric properties in both Spanish and Brazilian Portuguese versions were analysed, comparing the invariance of the measure between the two countries, and setting the difficulty parameter of the items. Thus, a total of two incidental samples volunteered to participate in the study: a Spanish sample of = 498 and a Brazilian sample of = 379 were recruited. Confirmatory factor analysis (CFA), as well as an invariance analysis, were performed between the two countries, in order to test the homogeneity structure of the measure. In addition, the item response theory (IRT) was used to establish the probability of response and difficulty of the items through a Rasch analysis. The confirmatory factor analysis pointed to a unifactorial structure. There were no statistically significant alterations in the model fit indices, and the Rasch rating scale model (RSM) showed adequate infit and outfit values, as well as successive response categories located in the expected order for all items.

摘要

该研究的目的是开发一种角色模糊(RB)工具,以衡量不同背景下的工作与生活融合情况。最终对19个项目进行了检验。分析了西班牙语和巴西葡萄牙语版本的心理测量特性,比较了两国之间测量的不变性,并设定了项目的难度参数。因此,共有两个随机样本自愿参与该研究:招募了一个498人的西班牙样本和一个379人的巴西样本。在两国之间进行了验证性因素分析(CFA)以及不变性分析,以检验该测量方法的同质性结构。此外,项目反应理论(IRT)被用于通过拉施分析来确定项目的反应概率和难度。验证性因素分析表明为单因素结构。模型拟合指数没有统计学上的显著变化,拉施评分量表模型(RSM)显示出足够的拟合优度和适配值,以及所有项目的连续反应类别按预期顺序排列。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec07/9690092/15609ad30fef/healthcare-10-02142-g001.jpg

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