英文摘要 |
Educational research always conducted stepwise regression but less focus on all-subsets regression that caused by little introductions toward it and lack analytic function in SPSS. All-subsets regression can pro¬vide rich information about the influential relations between indepen¬dent variables and dependent variables that must be improved. The study compared four multiple regression analysis, discussed the strengths and weakness about all-subsets regression, illustrated analytic procedure of all-subsets regression, reported selecting criteria and methods toward the best-subset model and important variables as well as suitable analytic software. Moreover we developed two programs for all-subsets regres¬sion in SPSS, and discussed briefly how it works as well as how to inter¬pret the analytic outputs. Finally survey data of teacher image was used to test all-subsets regression, it showed that all-subsets regression provides rich information of fit model more than stepwise regression. The best-subset regression model can be confirmed by using assessment indices to compare candidate subset regression models. Therefore it showed that all-subsets regression and these programs have several applied benefits for educational research. |