Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Error of Measurement | 2 |
| Intervals | 2 |
| Predictor Variables | 2 |
| Body Weight | 1 |
| Causal Models | 1 |
| Computation | 1 |
| Computer Mediated… | 1 |
| Equations (Mathematics) | 1 |
| Evaluation Methods | 1 |
| Evaluation Research | 1 |
| Intelligence Quotient | 1 |
| More ▼ | |
Source
| Multivariate Behavioral… | 2 |
Publication Type
| Journal Articles | 2 |
| Opinion Papers | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Adult Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Wechsler Intelligence Scale… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkReichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
Schluchter, Mark D. – Multivariate Behavioral Research, 2008
In behavioral research, interest is often in examining the degree to which the effect of an independent variable X on an outcome Y is mediated by an intermediary or mediator variable M. This article illustrates how generalized estimating equations (GEE) modeling can be used to estimate the indirect or mediated effect, defined as the amount by…
Descriptors: Intervals, Predictor Variables, Equations (Mathematics), Computation
