Developing a Scale to Evaluate the Fatalism of Epilepsy in Turkey

Esra Yildiz, Nuray Bingöl
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Abstract

Introduction. Many people believe that there is something predetermined in their life. Fatalism affects people’s adaptation to their diseases in epilepsy as well as in every disease. Aim. The study was conducted methodologically to determine the fatalism towards epilepsy disease. Material and Methods. “Information Form” and “Epilepsy Fatalism Scale” were used as data collection tools. With the literature review, a pool was created from the items of the previously developed fatalism scales. After removing the items with low factor load as a result of confirmatory factor analysis, confirmatory factor analysis was performed again. The data of the research were collected through social media. Kaiser–Meyer–Olkin (KMO) and Bartlett test, Principal Component Analysis, and Varimax Rotation were used for exploratory factor analysis in the evaluation of the data. For construct validity, confirmatory factor analysis was performed within the scope of explanatory and structural equation modeling χ², χ²/SD, RMSEA, CFI, IFI compatibility tests were used for Confirmatory Factor analysis. Results. The Cronbach’s alpha coefficient for the entire scale was found to be 0.768. It was determined with the results of the fit index analysis χ²/SD: 3.736, GFI, 0.922, AGFI 0.909, CFI 0.904, TLI 0.914, RMSEA: 0.062, RMR: 0.041 that the validity of the scale was ensured. Conclusions. The scale consisted of 10 items and three dimensions. The scale is a valid and reliable measurement tool in evaluating epilepsy fatalism. (JNNN 2023;12(2):63–68)
制定土耳其癫痫致命性评估量表
引言很多人都认为自己的人生是命中注定的。宿命论影响着人们对疾病的适应,对癫痫病和所有疾病都是如此。 研究目的本研究从方法学角度确定人们对癫痫疾病的宿命论。 材料和方法。使用 "信息表 "和 "癫痫宿命论量表 "作为数据收集工具。根据文献综述,从以前开发的宿命论量表的项目中建立了一个项目库。在去除确认性因子分析中因子负荷较低的项目后,再次进行确认性因子分析。 研究数据通过社交媒体收集。在评估数据时,使用了 Kaiser-Meyer-Olkin (KMO) 和 Bartlett 检验、主成分分析和 Varimax 旋转进行探索性因子分析。对于构造效度,在解释方程和结构方程模型的范围内进行了确认性因子分析,确认性因子分析使用了χ²、χ²/SD、RMSEA、CFI、IFI 相容性检验。 结果显示整个量表的 Cronbach's alpha 系数为 0.768。根据拟合指数分析结果χ²/SD:3.736,GFI:0.922,AGFI:0.909,CFI:0.904,TLI:0.914,RMSEA:0.062,RMR:0.041,可以确定量表的有效性。 结论该量表由 10 个项目和三个维度组成。该量表是评价癫痫宿命论的有效、可靠的测量工具。(JNNN 2023;12(2):63-68)
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