Generating Automated Text Complexity Classifications That Are Aligned with Targeted Text Complexity Standards
- Author(s):
- Sheehan, Kathleen M.; Kostin, Irene W.; Futagi, Yoko; Flor, Michael
- Publication Year:
- 2010
- Report Number:
- RR-10-28
- Source:
- ETS Research Report
- Document Type:
- Report
- Page Count:
- 44
- Subject/Key Words:
- Test Complexity, Readability, Genre, Reading Comprehension, SourceRater, Common Core State Standards, Automated Scoring and Natural Language Processing
Abstract
Validity analyses implemented on an independent sample of texts suggest that, compared to existing approaches, SourceRater’s estimates of text complexity are more reflective of the complexity classifications given in the new Standards. Implications for the development of learning progressions designed to help educators organize curriculum, instruction and assessment in reading are discussed.
Read More
- Request Copy (specify title and report number, if any)
- http://dx.doi.org/10.1002/j.2333-8504.2010.tb02235.x