碳足迹意识量表(CFAS)在大学生中的效度与信度研究。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Aydın Pekel, Keziban Yoka, Mehmet Behzat Turan, Osman Yoka, Oktay Akyüz, Osman Pepe
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引用次数: 0

摘要

本研究采用混合模型设计,旨在开发一个有效可靠的测量工具来测量大学生的碳足迹意识。共有1053名大学生自愿参与了这项研究,其中女性454名,男性599名。为了为量表的效度提供证据,在构念效度范围内对测量工具进行了探索性因子分析(EFA)和验证性因子分析(CFA)。在研究的第一阶段进行探索性因子分析(EFA),第二阶段进行验证性因子分析(CFA),对参与者使用了50个项目(n = 500)的量表问题。探索性因子分析方差越大,说明量表的因子结构越强。我们的项目加载在0.40和0.70之间变化。这些比率表明我们量表中的项目是重要的。由于项目分析,没有项目从量表中删除。提出了一种修改工艺。结果表明,根据测量工具的可靠性,Cronbach’s Alpha系数较高。作为分析的结果,Cronbach's Alpha信度系数;“建筑因素”为0.783,“化石燃料运输和运输因素”为0.873,“炼油因素”为0.857,“工业因素”为0.826,“电力和热力生产因素”为0.807,“土地利用和林业因素”为0.790,“农业活动因素”为0.858,“废物因素”为0.781。“其他能源生产因子”为0.864,“体育组织因子”为0.910,“碳足迹意识量表”为0.966。通过验证性因子分析,确定模型的拟合指标之一χ2/sd值为2.79。因此,可以确定χ2/sd比值完全适合分析。在研究的第二阶段,对参与者进行了50项(n = 553)的量表问题。对所得数据进行CFA分析,确定模型的拟合指标之一χ2/sd的值为2.75。在CFA中,卡方/自由度(df)比低于3对应于完美拟合,低于5对应于中等拟合。在这个方向上,可以确定χ2/sd比值对于分析是完美的。RMSEA值在0.056水平上拟合良好。因此,确定量表的50项10因子结构为模型。在此背景下,可以说,碳足迹意识量表是一种有效可靠的数据收集工具,可以衡量碳足迹意识,在大学生和整个社会中建立意识和自觉的社会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon footprint awareness scale (CFAS): validity and reliability study on university students.

This study was designed with a mixed model to develop a valid and reliable measurement tool to measure university students' carbon footprint awareness. A total of 1053 university students, 454 female and 599 male, were included in the study voluntarily. To provide evidence for the scale's validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied to the measurement tool within the scope of construct validity. In the Exploratory Factor Analysis (EFA) conducted in the first stage of the study, and the Confirmatory Factor Analysis (CFA) in the second stage, scale questions consisting of 50 items (n = 500) were applied to the participants. The higher the variance from exploratory factor analysis, the stronger the scale's factor structure. Our item loadings vary between 0.40 and 0.70. These ratios show that the items in our scale are significant. No item was removed from the scale due to the item analysis. One modification process was made. It was proven that the Cronbach's Alpha coefficient, tested in line with the reliability of the measurement tool, was high. As a result of the analyzes performed, Cronbach's Alpha reliability coefficients; For "Buildings factor" it was found as 0.783, for "Fossil Fuel Transportation and Transportation factor" it was found as 0.873, for "Oil Refinery factor" it was found as 0.857, for "Industry factor" it was found as 0.826, for "Electricity and Heat Production factor" it was found as 0.807, for "Land Use and Forestry factor" it was found as 0.790, for "Agricultural Activity factor" it was found as 0.858, for "Waste factor" it was found as 0.781, for "Other Energy Production factor" it was found as 0.864, for "Sports Organizations factor" it was found as 0.910 and for "Carbon Footprint Awareness Scale" it was found as 0.966. As a result of confirmatory factor analysis, the χ2/sd value, one of the fit indexes of the model, was determined as 2.79. Accordingly, it was determined that the χ2/sd ratio was the perfect fit for the analysis. In the second stage of the study, scale questions consisting of 50 items (n = 553) were applied to the participants. In the CFA applied to the obtained data, the value of χ2/sd, one of the fit indexes of the model, was determined as 2.75. In CFA, the Chi-Square/degrees of freedom (df) ratio being below three corresponds to a perfect fit, and below five corresponds to a moderate fit. In this direction, it was determined that the χ2/sd ratio was perfect for the analysis. RMSEA value showed a good fit at a 0.056 level. Thus, it was determined that the 50-item and 10-factor structure of the scale was confirmed as a model. In this context, it can be said that the Carbon Footprint Awareness Scale is a valid and reliable data collection tool that can measure carbon footprint awareness to create awareness and a conscious society among university students and the society in general.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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