Abstract: Structural Equation Modeling (SEM) is a multivariate data analysis, and one of the requirements in using SEM is that the data has interval scale. Some researchers argue that Likert scale is an interval, yet many others assume that this type of data is ordinal, and therefore transformation is important to apply to uplift the measurement scale. This paper tries to identify whether there is a difference in the result of analysis between SEM analysis using Likert scale with no transformation and with transformation, by employing secondary data. The results revealed that RMSEA (Root Mean Square Error of Approximation) values without and with transformation were 0.000 and 0.000, respectively. Therefore, both are close fit. It can be stated that the results of both treatments, without and with transformation, come to the same conclusion.