Online ISSN: 2515-8260

Keywords : Principal Factor Analysis


TALENT TURN OUT WITH SPECIAL REFERENCE TO CIVIL ENGINEERS PERSPECTIVE - RELIABILITY OF THE INSTRUMENT USING PRINCIPAL COMPONENT ANALYSIS CRONBACH’S ALPHA AND OMEGA

Er. B. Ravinder; Dr. A.B. Saraswathi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 943-951

The study has been carried to generate an empirical data on the reliability of the talent turn out with special reference to civil engineer’s perspective questionnaire and a survey has been administered in civil engineering community in India. The reliability of the questionnaire has been tested with Cronbach's alpha and Principal Component Analysis (PCA) by engaging the Statistical Package for the Social Sciences (SPSS). The questionnaire is 5-point likert's scale survey consisting of 56 items. According Bartlett's test of sphericity there is sufficient and significant correlation in the data for factor analysis (Chisq(1540) = 3490.55, p < 0.001). The principal component analysis and Scree plot reveals that there are 4 factors (constructs) that can be constructed from the 56 questions. However, these 4 factors can only explain 44% of the variation in the data. In addition to Cronbach alpha test, the data has been investigated with reference to the omega reliability concept. During the study of test out come of both Cronbach alpha as well as Omega Work Environment and Nature of Work, Communication and Motivation, Project Site Location factor's scale found to be weak based on Cronbach’s reliability criterion but the same is acceptable as per Omega reliability criterion, where as Performance Appraisal system, Promotion and Carrier Development factor's scale found to be weak with reference to Cronbach’s as well as Omega reliability criterion.