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To minimize the damage done to data by errors in measurement, scientists make measurements in large numbers. Taken together, the measurements will tend to group around the “real” value. This is incompatible with educational data, thus many errors remain... and are generally disregarded when the data are analyzed.
If this were true, assessment methodologies such as those developed for TIMSS and/or PIRLS would be of null value
