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Analyzing and reporting

Reliability statistics, item flags, AI summaries, and theme extraction.

Reliability and item-level analysis

How are reliability statistics computed?

Cronbach’s α, split-half, KMO, item-total correlations, and missing-data summaries are computed per scale on complete-case respondents. Full formulas live on the methodology page.

What does an alpha of 0.83 mean?

0.83 is in the strong band (≥ 0.80). The items in that scale are measuring one thing consistently. Read the reliability guide for thresholds, confidence intervals, and the caveats every researcher should know.

What is item-total correlation?

The correlation between an individual item and the rest of the scale (the corrected version excludes the item from the total). An item below 0.20 is a weak contributor and worth reviewing.

AI features and live results

How does AI theme extraction work?

Open-ended responses are clustered into 3 to 8 themes with counts and example quotes. Themes are generated on demand and never stored without your approval. The model never sees response IDs or any other PII.

Can I see results in real time?

Yes. Reliability statistics, item flags, and theme summaries refresh as new responses arrive. Statistics requiring a minimum sample (alpha needs at least 30 complete-case respondents) display a count instead until the threshold is met.

Still stuck?

Email the support team at support@relichecksurvey.com. Response within one business day on every plan.