Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Meta Analysis | 2 |
| Models | 2 |
| Predictor Variables | 2 |
| Probability | 2 |
| Accuracy | 1 |
| Animals | 1 |
| At Risk Persons | 1 |
| Bayesian Statistics | 1 |
| Correlation | 1 |
| Decision Making | 1 |
| Decoding (Reading) | 1 |
| More ▼ | |
Author
| Blais, Ann-Renee | 1 |
| Moxley, Jerad | 1 |
| Schatschneider, Chris | 1 |
| Shafir, Sharoni | 1 |
| Wagner, Richard K. | 1 |
| Weber, Elke U. | 1 |
| Zirps, Fotena A. | 1 |
Publication Type
| Journal Articles | 2 |
| Information Analyses | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
Weber, Elke U.; Shafir, Sharoni; Blais, Ann-Renee – Psychological Review, 2004
This article examines the statistical determinants of risk preference. In a meta-analysis of animal risk preference (foraging birds and insects), the coefficient of variation (CV), a measure of risk per unit of return, predicts choices far better than outcome variance, the risk measure of normative models. In a meta-analysis of human risk…
Descriptors: Probability, Risk, Animals, Predictor Variables
