CORRELATION CALCULATED FROM FAULTY DATA¶
Spearman. (1910). CORRELATION CALCULATED FROM FAULTY DATA. 1904-1920.
Cited by¶
1 citation across 1 artifact.
Domain-specific¶
- Reliability Paradox
- Having localized the fault to a small numerator or a large error term, the analyst infers the corresponding lever: raise the trial count to shrink the within-subjects error term (doubling trials roughly halving error variance, per the Spearman–Brown relationship)
Supported in partVerified against a saved copy of the source
“It is often very useful to be able to estimate how much this reliability coefficient will probably be increased by any given additional number of measurements, or how much it will probably be reduced by any given diminution in the number of measurements.”
- Having localized the fault to a small numerator or a large error term, the analyst infers the corresponding lever: raise the trial count to shrink the within-subjects error term (doubling trials roughly halving error variance, per the Spearman–Brown relationship)
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