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) | 1 |
Descriptor
| Error of Measurement | 2 |
| Individual Differences | 2 |
| Simulation | 2 |
| Statistical Analysis | 2 |
| Achievement Gains | 1 |
| Analysis of Covariance | 1 |
| Change | 1 |
| Comparative Analysis | 1 |
| Goodness of Fit | 1 |
| Longitudinal Studies | 1 |
| Mathematical Models | 1 |
| More ▼ | |
Author
| Ghisletta, Paolo | 1 |
| Hertzog, Christopher | 1 |
| Lindenberger, Ulman | 1 |
| Marston, Paul T., Borich,… | 1 |
| von Oertzen, Timo | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHertzog, Christopher; von Oertzen, Timo; Ghisletta, Paolo; Lindenberger, Ulman – Structural Equation Modeling: A Multidisciplinary Journal, 2008
We evaluated the statistical power of single-indicator latent growth curve models to detect individual differences in change (variances of latent slopes) as a function of sample size, number of longitudinal measurement occasions, and growth curve reliability. We recommend the 2 degree-of-freedom generalized test assessing loss of fit when both…
Descriptors: Sample Size, Error of Measurement, Individual Differences, Statistical Analysis
Download full textMarston, Paul T., Borich, Gary D. – 1977
The four main approaches to measuring treatment effects in schools; raw gain, residual gain, covariance, and true scores; were compared. A simulation study showed true score analysis produced a large number of Type-I errors. When corrected for this error, this method showed the least power of the four. This outcome was clearly the result of the…
Descriptors: Achievement Gains, Analysis of Covariance, Comparative Analysis, Error of Measurement
