Multilevel Statistical Models, 3rd edn
By S. Ravi. 2005
213 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2b2994541eb38560d142ed4242fa9d5591c45319
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- C. Zarafonitou
- S. Bourke
- Jonathan Wright
- N. Berthier
- P. Morgan
- Martijn van de Pol
- R. Keen
- A. Tseloni
Citations in the corpus
- Development of reaching in infancy (2006, methodology): “While Halverson (1933) concluded that the speed of reaching increases with age in the infant, modern long-term longitudinal studies either find a significant decrease in the average or maximum speed during the reach with age (Fetters and Todd 1987; Thelen et al.”
- Fear of Crime and Victimization (2008, methodology): “Additional merits of the method, which are irrelevant here, include allowing ‘incomplete data without any problems’ (Maas and Snijders 2003: 87) or additional computational cost on the assumption that ‘missing-ness’ is random (Goldstein 1995) and predicting possible displacement or diffusion effects”
- Non-specialist teachers' confidence to teach PE: the nature and influence of personal school experiences in PE (2008, background): “Multilevel analyses enable the researcher the opportunity to obtain statistically efficient estimates of regression coefficients and accurate standard errors, confidence intervals, and significance tests (Goldstein, 1995, p. 3).”
- A simple method for distinguishing within- versus between-subject effects using mixed models (2009, methodology): “We therefore have to be careful to avoid the problem of pseudoreplication (artificially inflating one’s degrees of freedom) in any statistical analysis involving repeated observations of the same subjects (e.g. Snijders & Bosker 1999; Goldstein 2003).”