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Mentioned in TFA, the GRIM test for checking a paper’s reported mean of integers: “”” The GRIM test is straightforward to perform. For each reported mean in a
by aabaker99 4y ago
Mentioned in TFA, the GRIM test for checking a paper’s reported mean of integers:
“””
The GRIM test is straightforward to perform. For each reported mean in a paper, the sample size (N) is found, and all fractions with denominator N are calculated. The mean is then checked against this list (being aware of the fact that values may be rounded inconsistently: depending on the context, a mean of 1.125 may be reported as 1.12 or 1.13). If the mean is not in this list, it is highlighted as mathematically impossible.[2][3]
“””
Source: Wikipedia
- jstanley 4y agoGood idea (for integer-valued measurements), but you can do it without having to bother calculating all fractions with denominator N. Let's say the reported mean is called m and the sample size is N. Multiply m and N together. Ideally mN should be almost an exact integer. Find ceil(mN)/N and floor(mN)/N and see if they're the same as the reported m, within precision limits. Example: m=6.24, N=13 mN = 81.12 (exact) 81/13 = 6.231 82/13 = 6.308 So there is no integer numerator (for denominator 13) that gives 6.24, to 2 decimal places, so 6.24 is a mistake or a lie.