Deviations from the same source method

For the test of the deviation of the homology method was a modelling method is based on the observation that the tertiary structure of proteins is more conserved than the amino acid sequence. As an outcome of this and still share detectable similarities will share common structural properties, particularly the overall fold but even the proteins have diverged significantly, this study uses the Harman single factor analysis method, the common method variance is identified by using the factor known as Harman’s single factor. The unrotated factor solution is analyzed by EFA one to determine the number of factors needed to account for the variance in the variables. That is, the exploratory factor (EFA) analysis of all the observed variables. Exploratory factor analysis (EFA) is a statistical method used in multivariate statistics to uncover the underlying structure of a relatively variables of large set. EFA is a factor analysis technique with the overarching goal of finding the underlying structure between measured variables. The first factor extracted only explained 6.859% of the total variance, indicating that the relatively serious problem of homology method bias has been successfully avoided by the data obtained in this research questionnaire.