Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Abstract Reasoning | 2 |
Short Term Memory | 2 |
Adults | 1 |
Age Differences | 1 |
Causal Models | 1 |
Decoding (Reading) | 1 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Grade 3 | 1 |
Grade 7 | 1 |
Graphemes | 1 |
More ▼ |
Source
Reading and Writing: An… | 2 |
Author
Gitit Kavé | 1 |
Maayan Sayag | 1 |
Mira Goral | 1 |
Schatschneider, Christopher | 1 |
Tighe, Elizabeth L. | 1 |
Wagner, Richard K. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Grade 3 | 1 |
Grade 7 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Primary Education | 1 |
Secondary Education | 1 |
More ▼ |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gitit Kavé; Maayan Sayag; Mira Goral – Reading and Writing: An Interdisciplinary Journal, 2024
Previous research has demonstrated conflicting findings concerning orthographic access in older age. The current study examines whether older adults rely more heavily on stored knowledge while spelling, through testing of word concreteness. Forty-one younger (age 20-29), 41 middle age (age 45-55), and 40 healthy older adults (age 70-80) spelled 60…
Descriptors: Spelling, Young Adults, Adults, Older Adults
Tighe, Elizabeth L.; Wagner, Richard K.; Schatschneider, Christopher – Reading and Writing: An Interdisciplinary Journal, 2015
This study demonstrates the utility of applying a causal indicator modeling framework to investigate important predictors of reading comprehension in third, seventh, and tenth grade students. The results indicated that a 4-factor multiple indicator multiple indicator cause (MIMIC) model of reading comprehension provided adequate fit at each grade…
Descriptors: Reading Comprehension, Reading Skills, Causal Models, Predictor Variables