Ziglari, L. (2017). Interpreting multiple regression results: β weights and structure coefficients. General Linear Model Journal, 43(2), 13-22.

บทคัดย่อ

PURPOSES: To explain both the regression coefficient and the structure coefficient to support the view that the inclusion of these two coefficients will augment the interpretation of results. METHODS: Documentary research and criticle review. RESULTS: In regression studies, both  weights and structure coefficients need to be consulted for interpretation. In interpreting the results,   weights are the credits given to each predictor for creating the predictive score, whereas structure coefficients are the bivariate correlation between each predictor and the effect observed. THEORY/ POLICY IMPLICATIONS: The article reviewed is worth theoretical reading and the analytical techniques are useful for application in research in social sciences.