Research often encounters situations where data needs to be escalated to the team and analyzed using team-level data. To totalize, most studies report three data: rwg, ICC(1), and ICC(2). That is, to add up the totals, three conditions have to be met, rwg>0.7, ICC(1)>0.05, ICC(2)>0.5.

Does jamovi enable multi-level analysis? And are these metrics exportable ?

## multi-level analysis

- mcfanda@gmail.com
**Posts:**448**Joined:**Thu Mar 23, 2017 9:24 pm

### Re: multi-level analysis

Hi,

Multi level analysis can be done with GAMLj3 mixed model. There you get also the ICC.

Multi level analysis can be done with GAMLj3 mixed model. There you get also the ICC.

### Re: multi-level analysis

I hope you can add the stats for RWG and ICC2, thank you very much.mcfanda@gmail.com wrote: ↑Wed Nov 29, 2023 10:13 am Hi,

Multi level analysis can be done with GAMLj3 mixed model. There you get also the ICC.

- mcfanda@gmail.com
**Posts:**448**Joined:**Thu Mar 23, 2017 9:24 pm

### Re: multi-level analysis

As regards the ICC2, it is simply given by the spearman-brown formula applied to ICC, so V_i /(V_i+V_e/k), where V_i is the variance of the intercepts, V_e is the residual variance, and k is the number of raters or cases within clusters. R_wg is not a model-based indices (it requires inventing a distribution that assumes a different model), thus it will not be implemented because it does not pertain the estimated mixed model.