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Analysis of covariance is an extension is an extension of one way ANOVA to in cooperate a covariate. It is used to test if there is any significant difference between two unrelated groups on a dependent variable.
However, unlike ANOVA it looks for difference in adjusted means. You can use more than one covariate if you wish and covariates are measured on a continuous scale.
-the univariate dialogue box opens.
The tables generated are Descriptive Statistic, tests of between subject’s effect, estimates and pairwise comparison.
In order to interpret, read along the independent variable row of tests of between subjects and read the value of “sig” column. If the p-value is less than 0.0005 it means there is a statistically significant difference between the adjusted means.