## Overview

The ***Paradata Multilevel Model Tool*** consists of a folder system with R-scripts that users can run to generate ***an interactive report that provides estimation of how much do interviewer variation affects interview time.*** .

The final report can be used by survey practitioners for:

1.  Ranking module by the total variance of interview time, variance of residual, and ICC interview effects based on a multilevel model framework.

2.  Use this initial ranking to identify whether additional interview training is needed to reduce the variation in interview time.

    -   Large variation of interview time may be necessary when resources are constraint (monetary or time).
    -   Large variation of interview time could indicate that enumerators are administering the survey inconsistently.

## Example Output Report

Below is an example report generated using a paradata from an LSMS+ dataset.

See [**Example Multilevel Model Report** here](Paradata_Report_Multilevel_Model.html). Go to the download tab to access the folder system, code, and information for preparing the report. The data is confidential and thus are not included in the folder system.

::: {#example-output}
![](figures/example_report_multilevel.png)
:::
