Replication Data for: Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These files should fully replicate the findings in 'Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class,' accepted at Political Analysis in April, 2021. They also contain teaching materials that can be used to communicate to students the process used in the article to reduce bias in grading stemming from multiple assessors' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["assessment bias","Bayesian Aldrich-McKelvey scaling","differential item functioning,"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These files should fully replicate the findings in 'Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class,' accepted at Political Analysis in April, 2021. They also contain teaching materials that can be used to communicate to students the process used in the article to reduce bias in grading stemming from multiple assessors' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These files should fully replicate the findings in 'Bridging the Grade Gap: Reducing Assessment Bias in a Multi-Grader Class,' accepted at Political Analysis in April, 2021. They also contain teaching materials that can be used to communicate to students the process used in the article to reduce bias in grading stemming from multiple assessors
assessment bias; Bayesian Aldrich-McKelvey scaling; differential item functioning,