Free Quantitative Text Analysis for Survey Responses
Collect open-ended survey answers and inspect VADER sentiment, word counts, distinctive terms, and randomized treatment differences free.
The Short Version
Collect open-ended survey answers and inspect VADER sentiment, word counts, distinctive terms, and randomized treatment differences free. A practical way to begin is to add an Open Text question after consent, background questions, or a randomized treatment, then write a prompt that asks one clear question and does not force positive or negative wording. Finish by making sure you read representative raw answers and validate consequential sentiment measures with human coding before making strong claims. The full walkthrough below explains each part in order.
Is This Guide for You?
Researchers who want to combine open-ended responses with transparent quantitative summaries or experimental comparisons.
Follow These Steps
Work through these 6 steps at your own pace. The wording is intentionally practical, and you can return to the checklist at the end when you are ready to review your work.
- Add an Open Text question after consent, background questions, or a randomized treatment.
- Write a prompt that asks one clear question and does not force positive or negative wording.
- Preview the response box and respondent flow.
- Collect responses within the 2,000-response Free account allowance.
- Open Results to inspect response counts, VADER compound sentiment, word counts, treatment-arm differences, and distinctive terms.
- Read representative raw answers and validate consequential sentiment measures with human coding before making strong claims.
What This Helps You Accomplish
Open-ended answers contain language that fixed-choice questions miss. Conjoint Survey makes the first analytical pass available inside the Free plan, including experimental comparisons when text follows randomized stimuli. VADER measures wording sentiment, not agreement, ideology, truth, or the researcher's preferred interpretation.
A Quick Confidence Check
- Neutral prompt wording.
- Text outcome preregistered when confirmatory.
- Raw examples reviewed.
- Sentiment not confused with stance.
- Human validation planned for high-stakes claims.
- Paid export needs identified.
Common Questions
Can I use this guide if I am new to this?
Yes. Researchers who want to combine open-ended responses with transparent quantitative summaries or experimental comparisons. Follow the steps in order, start with a small test, and use the final checklist before you field or report anything important.
What is the simplest way to get started?
Begin by add an Open Text question after consent, background questions, or a randomized treatment. Next, write a prompt that asks one clear question and does not force positive or negative wording. You do not need to perfect every setting before running a small preview or pilot.
How do I know when I am ready?
Use the confidence check above. In particular: Neutral prompt wording. Text outcome preregistered when confirmatory. Raw examples reviewed. Sentiment not confused with stance. When the decision is consequential, keep your study documentation and ask a qualified colleague or methods reviewer to examine the design as well.
Related Guides
Research artifact: sample data, codebook, and scriptsResearch Pathways
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