Research Article
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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Paliwal D, Kumar R. Exploring the five-factor structure of the need for closure scale on indian samples using exploratory and confirmatory factor analysis. European J Psychol E. 2022;5(1):45-51. doi: 10.12973/ejper.5.1.45
Paliwal, D., & Kumar, R. (2022). Exploring the five-factor structure of the need for closure scale on indian samples using exploratory and confirmatory factor analysis. European Journal of Psychology and Educational Research, 5(1), 45-51. https://doi.org/10.12973/ejper.5.1.45
Paliwal Deepshikha, and Ritesh Kumar. "Exploring the Five-Factor Structure of the Need for Closure Scale on Indian Samples Using Exploratory and Confirmatory Factor Analysis," European Journal of Psychology and Educational Research 5, no. 1 (2022): 45-51. https://doi.org/10.12973/ejper.5.1.45
Paliwal, D & Kumar, 2022, 'Exploring the five-factor structure of the need for closure scale on indian samples using exploratory and confirmatory factor analysis', European Journal of Psychology and Educational Research, vol. 5, no. 1, pp. 45-51. Paliwal, Deepshikha, and Ritesh Kumar. "Exploring the Five-Factor Structure of the Need for Closure Scale on Indian Samples Using Exploratory and Confirmatory Factor Analysis." European Journal of Psychology and Educational Research, vol. 5, no. 1, 2022, pp. 45-51, https://doi.org/10.12973/ejper.5.1.45.
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.
Keywords: Confirmatory factor analysis, exploratory factor analysis, five-factor structure, need for closure, parcels method.
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