how to present multilevel model results in a visual and understandable way for non-experts

[Nothome1975]

Hi everyone,
I am doing a multilevel analysis with educational survey data and would like to present the results to a research team that includes members without a statistical background.
I would like to ask: Are there any visual and effective ways to interpret the results from a multilevel model (e.g. coefficients at each level, variances, etc.) for non-experts? If anyone has an example to illustrate (especially through graphs), I would love to learn more.
Thanks!

[Nothome1975]

Has anyone encountered this situation?

[Tishaunn]

You could use simple bar charts or dot plots to show fixed effects (coefficients) with confidence intervals, and variance components can be illustrated using variance partitioning pie charts. A slopes-as-outcomes plot can also help show variability between groups. Clear labeling and minimizing statistical jargon are key.