How do I interpret ANCOVA in SPSS?

How do I interpret ANCOVA in SPSS?

The steps for interpreting the SPSS output for ANCOVA

  1. Look in the Levene’s Test of Equality of Error Variances, under the Sig.
  2. Look in the Tests of Between-Subjects Effects, under the Sig.
  3. Look at the p-value associated with the “grouping” or categorical predictor variable.

Does ANCOVA give P value?

– the ANCOVA is a 2-factorial linear model without interaction. You can use a linear model including the interaction to test ist the slopes are different. The p-value is a continuous measure of the probability of data under a sepcified model (restricted by the null hypothesis). Not more and not less.

What does it mean if ANCOVA is significant?

If one or more of your covariates are significant it simply means that it significantly adjust your dependent variable Smoking.

What is the significance value of ANCOVA in SPSS?

This provides the statistical significance value (i.e., p-value) of whether there are statistically significant differences in post-intervention systolic blood pressure (i.e., the dependent variable) between the groups (i.e., the independent variable) when adjusted for pre-intervention systolic blood pressure (i.e..

What is the null hypothesis for an ANCOVA?

The null hypothesis and the alternative hypothesis for ANCOVA are similar to those for ANOVA. Conceptually, however, these population means have been adjusted for the covariate. Thus, in reality, the null hypothesis of ANCOVA is of no difference among the adjusted population means.

What do you do if ANCOVA is significant?

Most materials on ANCOVA provided examples where this interaction is insignificant and that is the ideal result. some recommend if the interaction is significant, just stop interprete the effect of A. In two-way ANOVA, we can do simple-effect analysis of variable A when significant interaction is found.

What is difference between one-way and two way Anova?

A one-way ANOVA only involves one factor or independent variable, whereas there are two independent variables in a two-way ANOVA. In a one-way ANOVA, the one factor or independent variable analyzed has three or more categorical groups. A two-way ANOVA instead compares multiple groups of two factors.

What is difference between one way and two way Anova?

What are the assumptions of ANCOVA?

ANCOVA has the same assumptions as any linear model (see your handout on bias) except that there are two important additional considerations: (1) independence of the covariate and treatment effect, and (2) homogeneity of regression slopes.