Survey Data Analysis

This chapter discusses the statistical analysis of the results taken from the survey. It explains the statistics that were conducted to test the hypotheses and explains the causal relationships within the established theoretical framework based on Commitment-Trust Theory. For this analysis Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) are applied. However, the analysis can only provide evidence for the proposed model from the sample data taken. Furthermore, SEM does not calculate the size of any effects or reveal a better model, it only tests whether the data is consistent with the proposed model and whether there is a better fit for the one or the other model (Hair et al., 2014; Kline, 2015). Therefore, the alternative model approach presented in this study will be helpful for the comparison of three different models using the goodness-of-fit measures.