1
$\begingroup$

So my study intends to conduct a cluster analysis using 2 variables (RP and AP).

I intend to find four clusters (AC, BC, CC and DC).

I would then like to examine differences in education, height, age, and weight amongst the identified clusters (AC, BC, CC and DC).

How would I go about examining this? Do I just create a new label for all the participants by assigning them into their assigned cluster then running a manova (4 IV [AC, BC, CC, and DC] - and 4 DV (education, height, age, and weight])?

Thank you for helping me out, I really appreciate all the insight from everyone!

Improve this question
$\endgroup$
3
  • $\begingroup$ Too short for an answer: yes, you can, provided that the assumptions of MANOVA are satisfied. $\endgroup$
    – Galen
    Commented Sep 13, 2022 at 5:43
  • $\begingroup$ Thanks for responding Galen! Can you please elaborate on what you mean by assumptions of MANOVA? Sorry for the inconvenience! $\endgroup$
    – Rega
    Commented Sep 13, 2022 at 5:46
  • $\begingroup$ e.g. (approximate) normality, or homoschedasticity of residuals. $\endgroup$
    – Galen
    Commented Sep 13, 2022 at 5:56

0

Reset to default

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.