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) | 2 |
Descriptor
| Bayesian Statistics | 2 |
| Goodness of Fit | 2 |
| Statistical Analysis | 2 |
| Classification | 1 |
| Evaluation Methods | 1 |
| Identification | 1 |
| Information Dissemination | 1 |
| Patients | 1 |
| Prevention | 1 |
| Programming Languages | 1 |
| Psychopathology | 1 |
| More ▼ | |
Author
| Depaoli, Sarah | 2 |
| Bonifay, Wes | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bonifay, Wes; Depaoli, Sarah – Prevention Science, 2023
Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard goodness-of-fit statistics. Limited-information fit…
Descriptors: Bayesian Statistics, Programming Languages, Psychopathology, Classification
Depaoli, Sarah – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Proper model specification is an issue for researchers, regardless of the estimation framework being utilized. Typically, indexes are used to compare the fit of one model to the fit of an alternate model. These indexes only provide an indication of relative fit and do not necessarily point toward proper model specification. There is a procedure in…
Descriptors: Bayesian Statistics, Structural Equation Models, Goodness of Fit, Statistical Analysis

Peer reviewed
Direct link
