How to run the Univariate procedure
Prepair the Data
A. A 2 x 3 Factorial Design Example
Variable 1: Learner proficiency: high vs. low
* In the data set for a univariate analysis, each independent variable takes a column, starting from the more general variable. This procedure is for a between-subject design, so each row represents a subject and the same subject can't appear in more than one row/cell.
B. A 2 x 2 x 2 Factorial Design Example
Variable 1: L2 proficiency: High vs. Low
2. Run the Procedure
1. Move the dependent variable into the Dependent Variable space and the independent variables into the Fixed Factor(s) space.
2. Click on OK to run the procedure.
3. A covariate is a variable that are not directly tested but may correlate with the dependent variable, e.g. IQ. If this variable is moved into the Covariate box, the effects of this variable ("data noise") are removed and thus the ANOVA is performed on a purified data set resulting in greater power. This technique is known as Analysis of Covariance (ANCOVA).
4. Click on the Post Hoc button to make pairwise comparisons (transfer
varaible, check Tukey, then Continue, OK. Or run
Read the Output (Example B)
There is no main effect of L2 proficiency (F=2.20, p=.15); There is a main effect of word frequency (F=30.47, p <.01) and a main effect of word type (F=5.45, p=.028). There is no significant interaction.