Grouping variables in bias and impact detection : an attributional stance for observational studies
Group disparity in the desired outcome (e.g., academic achievement) has always been a research emphasis. A group comparison is fair and meaningful only if the measured scores are comparable and free from bias. Measurement bias is closely connected to test fairness and has been investigated for decad...
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Language: | English |
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University of British Columbia
2017
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Online Access: | http://hdl.handle.net/2429/63188 |