Multi-Wave Reporting

Edited

Multi-wave reporting lets you combine results from multiple surveys within the same project into a single report. This is ideal for tracking changes over time, running longitudinal studies, or simply consolidating data for easier analysis.

Rather than looking at each survey individually, multi-wave reporting gives you a unified dataset with statistical testing run across all waves combined, while still allowing you to see results for each wave separately.


Key Features

  • Cross-survey reporting – Pull data from multiple surveys in the same project into one report.

  • Custom wave labels – Assign labels like “Wave 1,” “Wave 2,” etc., or stick with the survey names.

  • Flexible filtering – Add the wave label as a column, row, or filter in your report.

  • Statistical testing on combined data – All testing is run against the aggregated dataset.

  • Automatic code frame matching – Any open-ended question repeated across surveys in the same project uses the same code frame automatically.Creating a Multi-Wave Report

1. Navigate to the Projects Page

From your main dashboard, open the project containing the surveys you want to combine and selec the reports tab:


2. Create a New Multi-Wave Report

Click Create Report

Add the surveys you want to include. You can:

  • Keep the default survey name as the label, or

  • Enter a custom label (e.g., “Wave 1,” “Wave 2”).

3. Choose Respondent Handling

When setting up a multi-wave report, you can choose how to treat respondents who appear in more than one wave in the analysis page:

  1. Consistent Respondent – Treats the same respondent across waves as a single individual for longitudinal analysis.

  2. Separate Respondents – Treats responses in different waves as independent entries.

You can configure this in the analysis screen for each report:

5. Build and Analyse Your Report

Once your surveys are added, you can insert the wave label as:

  • A column

  • A row

  • A filter

Your analysis will automatically apply statistical testing across the combined dataset.

Best Practices

  • Use clear wave labels (especially if you have more than two waves) to make reporting more straightforward to interpret.

  • When running longitudinal studies, always enable the Consistent Respondent option.

  • Remember that open-ended code frames are already unified for repeated questions, so no manual alignment is needed.

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