Maximum Likelihood (ML) estimation is used to estimate model parameters with the covariance matrix as the inputted data. The ML estimation method has been described as being well suited to theory testing and development (Anderson&Gerbing, 1988; Hair et al., 1998; Joreskog&Sorbom, 1993).