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) | 1 |
Descriptor
| Observation | 2 |
| Simulation | 2 |
| Comparative Analysis | 1 |
| Computation | 1 |
| Data Analysis | 1 |
| Differences | 1 |
| Foreign Countries | 1 |
| Mathematical Models | 1 |
| Mathematics | 1 |
| Measurement Techniques | 1 |
| Regression (Statistics) | 1 |
| More ▼ | |
Source
| Multivariate Behavioral… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkCook, Thomas D.; Steiner, Peter M.; Pohl, Steffi – Multivariate Behavioral Research, 2009
This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the…
Descriptors: Statistical Bias, Reliability, Data Analysis, Regression (Statistics)
Lee, Sik-Yum; Lu, Bin – Multivariate Behavioral Research, 2003
In this article, a case-deletion procedure is proposed to detect influential observations in a nonlinear structural equation model. The key idea is to develop the diagnostic measures based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. An one-step pseudo approximation is proposed to reduce the…
Descriptors: Structural Equation Models, Computation, Mathematics, Simulation
