The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning

Research article (Educational Measurement Issues and Practice, 2022) · cited 14× · AI/ML
Press Enter · cited answer in seconds

The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning

Summary

The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning is a scholarly article[1].

Key Facts

  • The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-multidimensionality-of-measurement-bias-in-highstakes-testing-using-machine-learning-to-evaluate-complex-sources-of-
MLA “The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-multidimensionality-of-measurement-bias-in-highstakes-testing-using-machine-learning-to-evaluate-complex-sources-of-.
BibTeX @misc{4ortxyz_the-multidimensionality-of-measurement-bias-in-highstakes-testing-using-machine-learning-to-evaluate-complex-sources-of-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning}}, year = {2026}, url = {https://4ort.xyz/entity/the-multidimensionality-of-measurement-bias-in-highstakes-testing-using-machine-learning-to-evaluate-complex-sources-of-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Multidimensionality of Measurement Bias in High‐Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning — https://4ort.xyz/entity/the-multidimensionality-of-measurement-bias-in-highstakes-testing-using-machine-learning-to-evaluate-complex-sources-of- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/the-multidimensionality-of-measurement-bias-in-highstakes-testing-using-machine-learning-to-evaluate-complex-sources-of- · Last refreshed: