Survey & Field Research · TOOL GUIDE

Survey Regression

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Understand the method. Use it with confidence.

Fit weighted linear or binary logistic regression for survey outcomes. Qantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool to prepare survey exports, combine them with approved reference data, or analyze structured and open-ended field responses.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Qantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Outcome (Required): Numeric outcome for linear regression or binary outcome for logistic regression.
  4. Set Covariates (Required): Select numeric or categorical predictors; do not select ID or free-text fields.
  5. Set Survey weight (Optional): Optional probability or calibration weight.
  6. Set Model (Required): Set model.
  7. Set Positive outcome (Optional): Required for logistic regression; exact outcome value treated as 1.
  8. Review optional or advanced settings and keep defaults unless your design requires a change.
  9. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Review match rates, transformed values, assumptions, sample sizes, and missing responses before interpreting findings. Survey results describe the collected sample and should be considered alongside the sampling design and fieldwork context.