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Direct linkPaul Donner – Research Evaluation, 2024
This study introduces an approach to estimate the uncertainty in bibliometric indicator values that is caused by data errors. This approach utilizes Bayesian regression models, estimated from empirical data samples, which are used to predict error-free data. Through direct Monte Carlo simulation--drawing many replicates of predicted data from the…
Descriptors: Data, Accuracy, Bibliometrics, Educational Indicators
Download full textKeaton, Patrick; Sable, Jennifer; Liu, Fei – National Center for Education Statistics, 2012
This revised data file includes corrections that were provided to NCES as a result of a special collection effort designed to address data quality issues found in the 1a release of this file. In May 2012, NCES became aware of data errors for key data items for several schools on the published version of the SY 2009-10 school file; in some cases…
Descriptors: School Statistics, Data Collection, Documentation, Error Patterns
