First of all, the correlation among constructs was examined. The factor loading for scale items based on the VARIMAX rotation is shown in table 4. The highest total variance of the item loading represented 75.55 percent without the construct FC and items AT1, SE1, SI3 and SI4. As such, these eight items were dropped from the experiment. Most of the remaining items represented good convergent and discriminant properties. Only items AT and SI tend to group together. This occurrence could be interpreted to mean that both of these constructs are attitudes on technology usage. AT is the user’s own attitude toward using technology and SI is the attitude of people who influence the user toward using technology. Items representing subcomponents of the same construct were all significantly and highly correlated. Twenty three items were divided into six constructs. Overall, the constructs developed by Venkatesh et al. (2003) fared well in this replication, even though they were based on different samples and context settings. This is vital because it indicates the general applicability of these constructs for different types of research questions. Summarily, this analysis confirms the validity analysis of the UTAUT model by showing strong correlation for most items belonging to the same construct.