tailieunhanh - introduction to spss RESEARCH METHODS & STATISTICS HANDBOOK PHẦN 5

Làm thế nào nhiều trường hợp có nơi HWRATIO lớn hơn HWRATIO2? Có một sự khác biệt đáng kể giữa tỷ lệ chiều cao xếp hạng / trọng lượng trước và sau khi chương trình tập thể dục / chế độ ăn uống? Thực tế này sẽ liên quan đến các sinh viên làm quen với phân tích phương sai (ANOVA). ANOVAs được sử dụng trong thực tế là khi bạn có thể muốn xác định xem có một sự khác biệt đáng kể giữa ba hoặc nhiều nhóm khi bạn chỉ có một biến duy nhất. . | the mean age is . The next table contains the correlation Pearson s for the two variables just as if you had run the correlation procedure. The coefficient is so it is fairly high and is negative as one goes up the other decreases . For the meantime ignore the table labelled variables entered removed . The next important table is Model Summary . The R and R-squared values are given for the equation as above and . Don t worry too much about the other values in this table. The next table contains the regression ANOVA. This test indicates how good the model is - whether there is some overall relationship between the dependent and independent variable s . The key element is the F score. For this regression the F score has an associated p value of well below the .05 cut-off. This indicates that there is a linear relationship. It should be noted however that only an examination of the scatter plot of the variables can confirm that the relationship between two variables is linear. The next table contains some really important information The table is labelled Coefficients and contains the regression equation. The regression coefficient and constant are given in column B of the table. The equation therefore is Predicted height to weight ratio AGE .602 The t value indicates whether each independent variable has a significant individual impact on the regression equation. In simple regression there is only one independent variable and for this one it has a significant influence a t score with an associated p value of - notice it s the same as the ANOVA score . The next section begins with Residual Statistics. This gives means SDs and other information about the unstandardised and standardised predictor and residual scores in the regression. You could follow up the regression by doing up a scatter plot. Look at your scatter plot. Basically all you need to know is that if the plot shows no obvious pattern than this confirms that the