To use this table:

For , which is part of the Comprehensive Clinical Science Self-Assessment (CCSSA) for USMLE Step 2 CK , offline score conversion typically relies on community-generated data. While official NBME reports now emphasize a "percent correct" (equated percent correct) and a probability of passing, many students still look for a three-digit equivalent. Offline Conversion Formula

Does this match the table? Approximately. However, this formula breaks down at extreme ends (very high or very low scores). The NBME curve is not perfectly linear. For scores above 170 correct, the curve flattens (you need more raw points to gain 1 3-digit point). For scores below 100 correct, the formula overestimates.

A polynomial regression (2nd order) was fitted to model the relationship between raw correct (0–200) and three-digit score. The equation was validated against the known passing threshold: ~60% correct on NBME 9 roughly equals a 196 (passing) on Step 1.

9 Offline Score Conversion _best_ — Nbme

To use this table:

For , which is part of the Comprehensive Clinical Science Self-Assessment (CCSSA) for USMLE Step 2 CK , offline score conversion typically relies on community-generated data. While official NBME reports now emphasize a "percent correct" (equated percent correct) and a probability of passing, many students still look for a three-digit equivalent. Offline Conversion Formula nbme 9 offline score conversion

Does this match the table? Approximately. However, this formula breaks down at extreme ends (very high or very low scores). The NBME curve is not perfectly linear. For scores above 170 correct, the curve flattens (you need more raw points to gain 1 3-digit point). For scores below 100 correct, the formula overestimates. To use this table: For , which is

A polynomial regression (2nd order) was fitted to model the relationship between raw correct (0–200) and three-digit score. The equation was validated against the known passing threshold: ~60% correct on NBME 9 roughly equals a 196 (passing) on Step 1. Approximately