Field-Test Prediction Study

The Offer

What We Do

1. You provide 500 items with known field-test statistics (p-values, point-biserials, DIF flags, field-test pass/fail outcomes).
2. We run each item through our 200+ check AI analysis engine — blind to the actual field data.
3. We compare our AI predictions to your actual field-test results.
4. We deliver a validation report: prediction accuracy, false positive/negative rates, correlation coefficients, Bland-Altman analysis.

What You Get

• Prediction accuracy metrics (RMSE, MAE, correlation for p-value and rpb predictions)
• Sensitivity/specificity for field-test pass/fail prediction
• False positive and false negative analysis
• Calibration curves across difficulty ranges
• DIF prediction accuracy by demographic category
• ROI analysis: “If you had used AI pre-screening, X items would have been caught before field-testing, saving $Y”
• Joint case-study rights (optional, mutual consent)

Why This Structure

Terms

• Fixed Fee
  $7,500, invoiced on engagement start.
• Data Handling
  Items processed in isolated environment, deleted within 30 days of report delivery (or retained with written consent).
• Confidentiality
  Mutual NDA available on request.
• IP
  All predictions and analysis belong to the client. Aggregated, anonymized accuracy metrics may be used for product improvement.
• Case Study
  Joint publication rights. Both parties must consent to any public use.
• Timeline
  3 weeks from receipt of items + field data.