The Development and Validation of Jihad Academic Scale (JAS)

M. Nugraha
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Abstract

The purpose of this study was to construct and validate the jihad academic scale. Because jihad is broadly divided into major (non-physical) and minor (physical) jihad, this research focuses on the construction of the major (non-physical) jihad, which is carried out in the academic or how they strive to study in their education. The study consisted of a pilot study (n=61), a first study (n=183), and a second study (n=183), using a convenience sampling technique. A quantitative method with exploratory factor analysis (EFA) design followed by confirmatory factor analysis (CFA). Validity uses to construct convergent and discriminant validity—analysis using the JASP program. The results of the EFA study formed three dimensions. The CFA results stated that the proposed model was fit based on the CFI=0.94 (> 0.90) SRMR=0.05 (< 0.08) GFI=0.91 (> 0.90). But still not fit in accordance with p-value 2=0.01 (> 0.05) and RMSEA=0.06 (< 0.05). Then it has been reliably seen from α = 0.88 (> 0.70). Then the convergent validity is seen from the academic resilience scale with the correlation value of Pearson's (r = 0.41) and Spearman's (rho = 0.35) with each masing p-value < .001. Then, for discriminant validity, it can be seen from the school burnout inventory scale with the correlation value of Pearsons (r = - .11) with p-value=.012  and spearman's (rho = - .21) with p-value= .00438. The normality assumption of Shapiro-Wilk (W= 0.87) with p-value < .001. Overall, this scale can be used in a university environment and can then be developed at other levels of education with a larger number of samples to confirm each factor.
圣战学术量表(JAS)的编制与验证
本研究旨在建构并验证圣战学术量表。由于圣战大致分为主修(非身体)圣战和副修(身体)圣战,因此本研究的重点是主修(非身体)圣战的建构,在学术上是如何进行的,或者他们在教育中如何努力学习。该研究包括一项先导研究(n=61)、一项第一研究(n=183)和一项第二研究(n=183),采用方便抽样技术。定量方法采用探索性因子分析(EFA)设计和验证性因子分析(CFA)设计。效度用JASP程序构造收敛性和判别性的效度分析。全民教育研究的结果形成了三个维度。CFA结果表明,基于CFI=0.94(> 0.90)、SRMR=0.05(< 0.08)、GFI=0.91(> 0.90)的模型拟合良好。但仍不符合p值2=0.01(> 0.05)和RMSEA=0.06(< 0.05)。从α = 0.88(> 0.70)可以可靠地看出。从学业弹性量表中可以看到收敛效度,Pearson的相关值(r = 0.41)和Spearman的相关值(rho = 0.35), p值均< 0.001。然后,对于区分效度,从学校倦怠量表中可以看出,pearson的相关值(r = - 0.11), p值=。012和spearman’s (rho = - 0.21), p值= 0.00438。Shapiro-Wilk的正态性假设(W= 0.87), p值< 0.001。总的来说,这个量表可以在大学环境中使用,然后可以在其他教育水平上使用更多的样本来确认每个因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
8
审稿时长
16 weeks
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