Analyses and Results
The model in the current study consists of multiple variables whose
relationships are not well-defined and form various inner models.
Besides, in the current study’s measurement model, there could be random
error caused by respondent fatigue and systematic error caused by
variance attributable to the measurement method. Hence, to establish the
extent to which the proposed model represents an acceptable
approximation of actual relationship, analysis of the collected data was
performed using structural equation modeling (SEM) with IBM SPSS AMOS
v20.0 and various fit indices were examined.
We first tested our unconstrained measurement model. The CFA showed that
this measurement model was a reasonable fit for the data with
χ2 = 185.5, RMSEA = 0.049, CFI = 0.963, NFI = 0.956.
Our sample being a smaller one we used CFI and NFI as they are less
sensitive to sample size (Hair et al, 1998; Ho 2006).
Table III: Confirmatory Factor Analysis for validity and reliability of
construct measures