Factor Analysis: Empirical Evidence with Employee Turnover Decision of Tourism Sector

Abstract

The main objective of this paper is to analyze the data and present the information that was gathered from the main survey of this study by using the suitable statistical method. Chosen suitable statistical method in this study was factor analysis. In line to the objectives, researcher initially described descriptive measures briefly and contributed the main attention on interpretation of factor analysis with empirical evidences of Turnover decision of employees engage in the field of Hotel & Travel sector in Tourism. Objective of run the factor analysis is to simplify data to reduce the number of variables as facilitate to fit a regression model. Before selecting the variables, convergent validity test was run to identify the latent variable correlates by using KMO and Bartlett's test of sphericity and Cronbach Alpha. These tests were significant at 5% level of significance. When the test was conducted it was observed that the third and fourth questions from Remunerations related scale measuring and the third question of Career related scale measuring were grouped individually. Therefore, rotation solution and extraction method of Principle Component analysis method was used in this study further. After used the rotation method researcher used Regression Analysis to fit the model.