Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Semantics | 2 |
Syntax | 2 |
Comprehension | 1 |
Computers | 1 |
Content Analysis | 1 |
Difficulty Level | 1 |
Form Classes (Languages) | 1 |
Intervention | 1 |
Language Acquisition | 1 |
Lexicology | 1 |
Models | 1 |
More ▼ |
Author
Alonzo, Julie | 1 |
Biancarosa, Gina | 1 |
Graesser, Arthur C. | 1 |
Kahn, Joshua | 1 |
Kamata, Akihito | 1 |
Kulikowich, Jonna M. | 1 |
McNamara, Danielle S. | 1 |
Nese, Joseph F. T. | 1 |
Publication Type
Journal Articles | 1 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Flesch Kincaid Grade Level… | 2 |
Degrees of Reading Power Test | 1 |
Flesch Reading Ease Formula | 1 |
What Works Clearinghouse Rating
Nese, Joseph F. T.; Alonzo, Julie; Biancarosa, Gina; Kamata, Akihito; Kahn, Joshua – Grantee Submission, 2017
Text complexity has received increased attention due to the CCSS, which call for students to comprehend increasingly more complex texts as they progress through grades. Quantitative text complexity (or readability) indices are based on text attributes (e.g., sentence lengths, and lexical, syntactic, & semantic difficulty), quantified by…
Descriptors: Reading Comprehension, Difficulty Level, Readability, Sentence Structure
Graesser, Arthur C.; McNamara, Danielle S.; Kulikowich, Jonna M. – Educational Researcher, 2011
Computer analyses of text characteristics are often used by reading teachers, researchers, and policy makers when selecting texts for students. The authors of this article identify components of language, discourse, and cognition that underlie traditional automated metrics of text difficulty and their new Coh-Metrix system. Coh-Metrix analyzes…
Descriptors: Reading Teachers, Language Acquisition, Computers, Researchers