Exploring Items for Measuring Social Media Construct: An Exploratory Factor Analysis

Q. Nasidi, Muhamad Fazil Ahmad, Jamila Mohammed Dahiru
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Abstract

Exploratory factor analysis (EFA) is a technique for determining a measure’s factor structure and assessing its internal consistency or reliability. EFA is essential for determining which components should be included in the study instrument. Social media is one of the most critical factors that affect online shopping behaviour. Thus, this study aims to use exploratory factor analysis to validate an instrument measuring social media in the context of online shopping. The questionnaire used in this study is adapted from previous studies. The researchers utilised a cross-sectional research design to conduct the EFA, collecting data from 100 respondents using a structured survey. The result shows that the construct has one component. The KMO is 0.892, and the outcome of Bartlett’s Test of Sphericity was significant (Chisquare = 510.816, p-value 0.000; this indicated that the data are okay to proceed. Cronbach’s Alpha was higher than 0.7, meaning that all items are reliable. The study concludes that the instruments used to measure social media in this research are valid and reliable.
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衡量社会媒体建构的探索项目:探索性因子分析
探索性因子分析(EFA)是一种确定度量的因子结构并评估其内部一致性或可靠性的技术。全民教育对于确定哪些组成部分应包括在研究工具中至关重要。社交媒体是影响网上购物行为的最关键因素之一。因此,本研究旨在使用探索性因子分析来验证一种测量社交媒体在网上购物背景下的工具。本研究使用的调查问卷改编自以往的研究。研究人员采用了横断面研究设计来进行全民教育,通过结构化调查从100名受访者中收集数据。结果表明,该结构只有一个组成部分。KMO为0.892,Bartlett 's球形检验结果显著(Chisquare = 510.816, p值0.000;这表明数据可以继续。Cronbach’s Alpha值大于0.7,即所有条目都是可靠的。研究得出结论,本研究中用于衡量社交媒体的工具是有效和可靠的。
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