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The first paper, "The information content of financial survey response data", by J Christopher Westland, suggests that varying bias and response dispersion inherent in market data for financial studies may require increases of sample size by several orders of magnitude to compensate for information loss and in order to derive valid conclusions at a given significance and power of tests.
The results of the analysis suggest that varying bias and response dispersion inherent in specific surveys may require increases of sample size by several orders of magnitude to compensate for information loss and in order to derive valid conclusions at a given significance and power of tests.
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This may require increased extraction of methodological data, although the results may not be included in published evidence summaries aimed at decision-makers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com