Download SIMSTAT - Provalis Research
Transcript
STATISTICAL ANALYSIS - 93 variable and the predicted and residual values. The new variables are named PREDxxx and RESIDxxx where xxx stands for a serial number between 001 and 999 that corresponds to the number of analysis performed during a single command. This number is automatically reset to 001 after each command. To prevent overwriting those variables, you must rename them using the DEFINE VARIABLE command. ORDER & INTERACTION PAGE Type - This column allows you to specify whether the variable is nominal or quantitative. To toggle between these two types of variables, click on the appropriate radio button at the bottom of the grid. Order - When a hierarchical approach is chosen (see Adjustment Method), this option allows you to specify the sequence of entry of the variables in the model. The order for each variable can lie between 1 and 6. All variables with the same number are entered at the same time, while variables that have lower numbers are entered before those that have higher numbers. Variables for which the order is set to 6 are entered at the same time as the interaction variables. You can enter the order at the keyboard or use the spin button located at the right edge of the grid to increase or decrease the order. Interactions - This option allows you to specify which interactions are tested. For example, to test for interactions between factors A and B, and factors A, B and covariate C, enter: Interactions: AB ABC Sample output of a GLM ANOVA/ANCOVA analysis GLM - ANALYSIS OF VARIANCE Dependent Variable: AGGRESS Nb of agressive behavior Adjustment for unequal cells size: Hierarchical *********************************** STEP 1 *********************************** Variable(s) entered on step 1: AGE Age of the child Multiple Regression Multiple R = Multiple R Square = Adjusted R square = .2813 .0791 .0630 sig. of R = .0309 Analysis of Variance Source of Variation Sum of Squares DF Mean Square F P Variables block #1 AGE 1261.136 1261.136 1 1 1261.136 1261.136 4.897 4.897 .031 .031 Explained 1261.136 1 1261.136 4.897 .031 Residual 14679.508 57 257.535 Total 15940.644 58 274.839