多维健康控制点量表的心理测量特性:乌克兰样本

Ivan Danyliuk, Anton Kurapov, Karine Malysheva, Illia Yahiiaiev, Oleksandra Loshenko, Serhiy Lytvyn
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引用次数: 0

摘要

B:是的,我很高兴见到你。健康控制和管理是重要的过程,在2019冠状病毒病大流行之后,其相关性增加了。卫生控制对今天的乌克兰人民同样重要。各种评估方法用于衡量健康控制,MHLC是最常用的方法之一,在世界上一些国家也显示出高可靠性。考虑到这一问题的重要性和对人口健康的持续威胁,显然有必要在乌克兰提供这一比额表。相应地,本研究旨在使MHLC(多维健康控制点)量表适应乌克兰背景,并测试该量表的心理测量特性,以确定其在乌克兰语人口中使用的适用性。我想我应该去找她。MHLC量表的性质在来自乌克兰的392名受访者的样本上进行了评估。使用以下统计检验评估心理测量特性:信度和内部一致性(Cronbach's alpha)、因子分析(探索性和验证性)和相关分析。这是我最喜欢的。MHLC量表的Cronbach's alpha为0.72。EFA分析显示存在三因素模型结构。模型拟合优度指标为:χ2 = 389, p <0001;Cfi = 0,86;Tli = 0,84), SRMR = 0,06, aic = 22982, bic = 23209。模型的主要影响因素有:影响他人因素、内部因素和随机性因素。相关分析显示MHLC量表条目与5C量表条目具有较强的相关性,证实了收敛效度和判别效度。我想我的孩子们都是这样的。乌克兰语版MHLC量表具有积极的心理测量特征,可用于乌克兰语语境和样本的研究。验证程序显示乌克兰量表与量表作者建议的最初五个因素相匹配的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Psychometric properties of the Multidimensional Health Locus of Control Scale: Ukrainian sample
B a c k g r o u n d . Health control and management are important processes, the relevance of which has increased after the COVID-19 pandemic. Health control is equally important for the population of Ukraine today. Various assessment methodologies are used to measure health control, and the MHLC is one of the most commonly used, and also showed high reliability in several countries worldwide. Considering the importance of the issue and constant threat to the health of population, the necessity of having this scale available in Ukrainian is clear. Correspondingly, the present study aimed to adapt the MHLC (Multidimensional Health Locus of Control) scale to the Ukrainian context and to test the psychometric properties of the scale for its suitability for use among the Ukrainian-speaking population. M e t h o d s . The properties of the MHLC scale were evaluated on a sample of 392 respondents from Ukraine. The psychometric properties were assessed using the following statistical tests: reliability and internal consistency (Cronbach's alpha), factor analysis (exploratory and confirmatory), and correlation analysis. R e s u l t s . Cronbach's alpha for the MHLC scale was 0,72. EFA analysis revealed the presence of a three-factor model structure. The model's goodness-of-fit indicators are as follows: χ2 = 389, p < 0,001; CFI = 0,86; TLI = 0,84), SRMR = 0,06, AIC = 22982, BIC = 23209. The main factors of the model are: influential others, internal, and randomness. The correlation analysis revealed a strong relationship between the MHLC scale items and the 5C scale items, which confirms convergent and discriminant validity. C o n c l u s i o n s . The Ukrainian version of the MHLC scale has positive psychometric characteristics and can be used in studies focused on the Ukrainian-speaking context and sample. Validation procedure showed the ability of Ukrainian scale to match the initial five factors suggested by the authors of the scale.
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