Exploring the Five-Factor Structure of the Need for Closure Scale on Indian Samples Using Exploratory and Confirmatory Factor Analysis

Deepshikha Paliwal, Ritesh Kumar
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Abstract

This study was conducted to explore the five-factor structure of the Need for Closure scale on Indian samples using exploratory and confirmatory factor analysis. Data were initially collected from 450 samples which were reduced to 235 cases later based on the lie score criteria of the Need for Closure Scale. To rule out the problems caused by all questionnaire items like low reliability and low communalities, parceling of the items (creating three parcels from each facet) was done before the multivariate analysis (EFA and CFA). In the results, EFA showed that the five-factor structure of the NFC scale explains 52% of the variance. The goodness of fit statistics in the CFA model met the criteria (χ2 = 190.153, GFI = 0.908, TLI = 0.855, CFI = 0.890, RMSEA = 0.077) for the reasonable fit of the single factor structure of the NFC construct. In conclusion, this study presented the good psychometric properties of the NFC scale. It can be used to assess the individual's need for closure in the wider contexts of Indian studies.
利用探索性和验证性因子分析探讨印度样本封闭性需求量表的五因子结构
本研究采用探索性因子分析和验证性因子分析,探讨了印度样本的封闭性需求量表的五因子结构。数据最初是从450个样本中收集的,后来根据关闭需要量表的谎言得分标准减少到235例。为了排除所有问卷项目造成的问题,如低可靠性和低社区,在进行多变量分析(EFA和CFA)之前,对项目进行打包(从每个方面创建三个包裹)。在结果中,EFA显示NFC量表的五因子结构解释了52%的方差。CFA模型的拟合优度统计符合NFC结构单因素结构合理拟合的标准(χ2 = 190.153, GFI = 0.908, TLI = 0.855, CFI = 0.890, RMSEA = 0.077)。综上所述,本研究显示了NFC量表良好的心理测量特性。它可以用来评估个人在更广泛的印度研究背景下对封闭的需求。
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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