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) | 4 |
Descriptor
Evaluation Methods | 4 |
Intervals | 4 |
Simulation | 3 |
Structural Equation Models | 3 |
Correlation | 2 |
Error of Measurement | 2 |
Models | 2 |
Behavioral Science Research | 1 |
Biomedicine | 1 |
Body Composition | 1 |
Causal Models | 1 |
More ▼ |
Source
Structural Equation Modeling:… | 4 |
Author
Beretvas, S. Natasha | 1 |
Li, Xin | 1 |
MacKinnon, David P. | 1 |
Mels, Gerhard | 1 |
Raykov, Tenko | 1 |
Tao Hu | 1 |
Tiejun Tong | 1 |
Wenwu Wang | 1 |
Williams, Jason | 1 |
Yuejin Zhou | 1 |
Zhonghua Liu | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 3 |
Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yuejin Zhou; Wenwu Wang; Tao Hu; Tiejun Tong; Zhonghua Liu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Causal mediation analysis is a popular approach for investigating whether the effect of an exposure on an outcome is through a mediator to better understand the underlying causal mechanism. In recent literature, mediation analysis with multiple mediators has been proposed for continuous and dichotomous outcomes. In contrast, methods for mediation…
Descriptors: Regression (Statistics), Causal Models, Evaluation Methods, Vignettes
Li, Xin; Beretvas, S. Natasha – Structural Equation Modeling: A Multidisciplinary Journal, 2013
This simulation study investigated use of the multilevel structural equation model (MLSEM) for handling measurement error in both mediator and outcome variables ("M" and "Y") in an upper level multilevel mediation model. Mediation and outcome variable indicators were generated with measurement error. Parameter and standard…
Descriptors: Sample Size, Structural Equation Models, Simulation, Multivariate Analysis
Raykov, Tenko; Mels, Gerhard – Structural Equation Modeling: A Multidisciplinary Journal, 2009
A readily implemented procedure is discussed for interval estimation of indexes of interrelationship between items from multiple-component measuring instruments as well as between items and total composite scores. The method is applicable with categorical (ordinal) observed variables, and can be widely used in the process of scale construction,…
Descriptors: Intervals, Structural Equation Models, Biomedicine, Correlation
Williams, Jason; MacKinnon, David P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional "z" test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a…
Descriptors: Intervals, Testing, Predictor Variables, Effect Size