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