One-way ANCOVA: Testing for violation of homogeneity of regression slopes in SPSS (March 2022)

In this video I demonstrate how to test for the assumption of homogeneity of regression slopes and then address a possible approach for dealing with a violation of that assumption (using Hayes Process macro).
The data for this video can be downloaded here: drive.google.com/file/d/1BArQ...
You can obtain a copy of the Process macro: www.processmacro.org/download...
For more detail on how to use Process to test and describe the interaction between a multicategorical predictor and a continuous moderator, see this presentation: • Moderated multiple reg...

[@GalowGobiye]

Pretty good explanation ❤️ Thanks 🙏

[@ragibahsantopu191]

Thanks

[@matmath1996]

Thank you, I have a question nobody around me can answer so I'm à bit stuck : I did a mancova in spss (with a 3-group indépendant variable, 6 dépendant variables and two covariates), asking for estimated marginal means as well as saving the predicted (unstandardized) scores for all my individuals in the data file. From what I understand, these scores are calculated based on the marginal means (taking into account the covariates). And indeed, they are quite different from the initial scores. But what I don't understand is that, when I then do a simple manova using these new scores (and no covariates, just a manova), not only the results (F) are not the same as the mancova's corrected model, but the marginal means are also different. Would you know where I am mistaken please? Sorry for the length of this question (and probably my English since I'm French !)

[@nathalytorres2118]

Could you make a video about two-way ANCOVA testing for assumptions?

[@jogiprasadyadav7968]

Sir, where we find adjusted post test mean in this ... Kindly highlight that

[@joefox9875]

I was under the impression Levine's test indicated caution when the result WAS significant. Wrong?

[@mikecrowson2462]

Levenes test indicates a problem with heteroscedasticity (or lack of constant residual variances) when significant. It is not used to test for heterogeneity of regression slopes. Heterogeneity of regression slopes is tested by including a group x covariate interaction term in your model. If that term is significant, it is an indication that the linear relationship between covariate and dv varies across groups.