![]() Specifically, I wrote: DATASET ACTIVATE DataSet2. Since the significance value of the test, 0.330, is greater than 0. A scatter plot of the dependent variable (s) and the covariate (s) by factor group should show that all lines have a similar slope. equality of the error variances This table tests the null hypothesis that the variance of the error term is constant across the cells defined by the combination of factor levels. ![]() I have been trying to conduct the test in SPSS using the syntax commands I found here :, which however refers to factorial ANCOVA. A: Dependent variable (s) and the covariate (s) by factor group should have the same slopes: Conduct a correlation analysis between the dependent variable (s) and the covariate (s). SPSS results of the ANCOVA, using the GENERAL LINEAR MODEL->UNIVARIATE command, are provided below: Descriptive Statistics. The within subject variables based on the factor are AB_1, AB_2.Īccording to the literature, ANCOVA has an additional assumption, the one of homogeneity of slopes. I have a within subject factor with two levels (A), a measure (B) and a covariate (C). ![]() I conducted a repeated measures ANOVA in SPSS, using the command Generalised Linear Model > Repeated Measures.
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