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I recently took step 1 and was browsing different forums and what caught my eye was that Phloston and someone on another forum came up with an approximate % correct to get a certain score.
The formula came out to be: 3-digit # = (%Correct)x2.8
If you used this formula, the numbers would come out to be:
3-digit score / Missed per 322 / % correct / Missed per 46q block
270 / 11.5 / 96.4 / 1.64
260 / 23 / 92.9 / 3.29
250 / 34.5 / 89.3 / 4.93
240 / 46 / 85.7 / 6.57
230 / 57.5 / 82.1 / 8.21
220 / 69 / 78.6 / 9.86
210 / 80.5 / 75 / 11.5
200 / 92 / 71.4 / 13.14
190 / 103.5 / 67.9 / 14.79
Reasons that this formula might be a good approximation:
1. The 3-digit for passing (192) matches what is thrown around % correct wise (65-70%)
2. The % correct for every 10 points is slightly easier then the % NBME (reason why NBME is good score predictor and the reason why everyone says the real thing has better curve)
Reasons that this formula shouldn't hold too much stock:
1. If there are weighted questions then this wouldn't account for that
2. This formula takes every question into account (but there is wide range of experimental Q on exam)
3. The % correct for the higher scores seem too strict
Anyways, I brought this up to see what everyone's opinions are about this. Too harsh, too lenient, about right? Anyone have anecdotal evidence that refutes or supports the formula. Just killing time here. Best of luck.
The formula came out to be: 3-digit # = (%Correct)x2.8
If you used this formula, the numbers would come out to be:
3-digit score / Missed per 322 / % correct / Missed per 46q block
270 / 11.5 / 96.4 / 1.64
260 / 23 / 92.9 / 3.29
250 / 34.5 / 89.3 / 4.93
240 / 46 / 85.7 / 6.57
230 / 57.5 / 82.1 / 8.21
220 / 69 / 78.6 / 9.86
210 / 80.5 / 75 / 11.5
200 / 92 / 71.4 / 13.14
190 / 103.5 / 67.9 / 14.79
Reasons that this formula might be a good approximation:
1. The 3-digit for passing (192) matches what is thrown around % correct wise (65-70%)
2. The % correct for every 10 points is slightly easier then the % NBME (reason why NBME is good score predictor and the reason why everyone says the real thing has better curve)
Reasons that this formula shouldn't hold too much stock:
1. If there are weighted questions then this wouldn't account for that
2. This formula takes every question into account (but there is wide range of experimental Q on exam)
3. The % correct for the higher scores seem too strict
Anyways, I brought this up to see what everyone's opinions are about this. Too harsh, too lenient, about right? Anyone have anecdotal evidence that refutes or supports the formula. Just killing time here. Best of luck.