"I have a question and I hope someone can assist me.
I have a dataset in which I compare two groups, A and B, using a multigroup analysis.
So far, the results have been promising.
However, I also want to evaluate differences in age within each group.
To achieve this, I divided the original dataset into two age-based datasets (+/- 40 years) and conducted a multigroup analysis for the two groups (A and B) in both age-based datasets.
My question is, is this method appropriate? Should I consider the Bonferroni correction in some manner?
MGA: Differences between age, in different groups
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- PLS User
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- Real name and title: Maria Lunde
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Re: MGA: Differences between age, in different groups
In general, if you have a continuous variable using a split (e.g., median split, or any other arbitrary split) is less reliable than using the original continuous variable as a moderator in the model.
In your particular case, you may also end up with quite small groups that have low power to detect differences. Thus, I would always advice to include age as a moderator to investigate the impact of age differences on relationships.
In your particular case, you may also end up with quite small groups that have low power to detect differences. Thus, I would always advice to include age as a moderator to investigate the impact of age differences on relationships.
Dr. Jan-Michael Becker, BI Norwegian Business School, SmartPLS Developer
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
Researchgate: https://www.researchgate.net/profile/Jan_Michael_Becker
GoogleScholar: http://scholar.google.de/citations?user ... AAAJ&hl=de
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- PLS User
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- Real name and title: Maria Lunde
Re: MGA: Differences between age, in different groups
Thank you very much for your response
My sample size is >4000 customers, so it should be adequate in terms of splitting.
Is this a valid way to handle this research issue`?
I split the dataset into 2 parts based on age (>40 vs <40). Then, I conducted MGA on group A and group B separately, based on each of these age-split datasets. This resulted in a significant finding in group A, on age (< 40 years), on construct Y.
Is it appropiate to report this result, or do i need to include a age moderator in the model?
I am not sure how to include moderator in a MGA analysis...
My sample size is >4000 customers, so it should be adequate in terms of splitting.
Is this a valid way to handle this research issue`?
I split the dataset into 2 parts based on age (>40 vs <40). Then, I conducted MGA on group A and group B separately, based on each of these age-split datasets. This resulted in a significant finding in group A, on age (< 40 years), on construct Y.
Is it appropiate to report this result, or do i need to include a age moderator in the model?
I am not sure how to include moderator in a MGA analysis...