Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Error of Measurement | 2 |
Statistical Analysis | 2 |
Hierarchical Linear Modeling | 1 |
Monte Carlo Methods | 1 |
Robustness (Statistics) | 1 |
Sampling | 1 |
Statistical Bias | 1 |
Statistical Inference | 1 |
Structural Equation Models | 1 |
Source
AERA Online Paper Repository | 2 |
Author
Chen, Yi-Hsin | 1 |
Kim, Eun Sook | 1 |
Nguyen, Diep Thi | 1 |
Pham, Thanh Vinh | 1 |
Wang, Yan | 1 |
Ye, Feifei | 1 |
Yi, Zhiyao | 1 |
Zigler, Christina K. | 1 |
Publication Type
Reports - Research | 2 |
Speeches/Meeting Papers | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wang, Yan; Kim, Eun Sook; Nguyen, Diep Thi; Pham, Thanh Vinh; Chen, Yi-Hsin; Yi, Zhiyao – AERA Online Paper Repository, 2017
The analysis of variance (ANOVA) F test is a commonly used method to test the mean equality among two or more populations. A critical assumption of ANOVA is homogeneity of variance (HOV), that is, the compared groups have equal variances. Although it is encouraged to test HOV as part of the regular ANOVA procedure, the efficacy of the initial HOV…
Descriptors: Statistical Analysis, Error of Measurement, Robustness (Statistics), Sampling
Zigler, Christina K.; Ye, Feifei – AERA Online Paper Repository, 2016
Mediation in multi-level data can be examined using conflated multilevel modeling (CMM), unconflated multilevel modeling (UMM), or multilevel structural equation modeling (MSEM). A Monte Carlo study was performed to compare the three methods on bias, type I error, and power in a 1-1-1 model with random slopes. The three methods showed no…
Descriptors: Hierarchical Linear Modeling, Structural Equation Models, Monte Carlo Methods, Statistical Bias