Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Grade 8 | 2 |
| Reader Text Relationship | 2 |
| Reading Comprehension | 2 |
| Reading Skills | 2 |
| Computer Assisted Instruction | 1 |
| Computer Software | 1 |
| Electronic Learning | 1 |
| Focus Groups | 1 |
| Grade 7 | 1 |
| Item Response Theory | 1 |
| Lexicology | 1 |
| More ▼ | |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Elementary Education | 2 |
| Grade 8 | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Grade 7 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Gates MacGinitie Reading Tests | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGoodwin, Amanda P.; Gilbert, Jennifer K.; Cho, Sun-Joo; Kearns, Devin M. – Journal of Educational Psychology, 2014
The current study models reader, item, and word contributions to the lexical representations of 39 morphologically complex words for 172 middle school students using a crossed random-effects item response model with multiple outcomes. We report 3 findings. First, results suggest that lexical representations can be characterized by separate but…
Descriptors: Lexicology, Morphology (Languages), Reading Comprehension, Reader Text Relationship
Shinas, Valerie Harlow – ProQuest LLC, 2012
Online texts present unique challenges to readers, requiring them to interact with texts in ways that differ from their interactions with static, print texts (Kress, 2003; 2010; McKenna, 2003; Reinking, 1998). Due to the multimodal, multilayered, and nonlinear nature of online texts, readers may also employ strategies when they read online,…
Descriptors: Reading Comprehension, Electronic Learning, Middle School Students, Grade 8
