Multilevel Analysis : Techniques and Applications, Third Edition
By Joop J. Hox, Mirjam Moerbeek, R. van de Schoot. 2017
1,601 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/95c3eb98a9d22dffa1bbd34e21eafac299f690dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- L. Haerens
- Maarten Vansteenkiste
- Nathalie Aelterman
- Hilde Van Keer
- Joseph P. Vitta
- Ali H. Al-Hoorie
- J. Reeve
- Richard M. Ryan
In Sociology and Political Science
- L. Haerens
- Nathalie Aelterman
- Joseph P. Vitta
- Ali H. Al-Hoorie
- Maarten Vansteenkiste
- Bart Soenens
- Edward L. Deci
- Richard M. Ryan
Citations in the corpus
- The seven sins of L2 research: A review of 30 journals’ statistical quality and their CiteScore, SJR, SNIP, JCR Impact Factors (2019, methodology): “Another approach is to use multilevel and mixed-effects modeling to model both higher and lower units simultaneously (Hox, 2010).”
- Changing teachers' beliefs regarding autonomy support and structure: The role of experienced psychological need satisfaction in teacher training (2016, methodology): “Multilevel modeling is considered themost appropriate method to analyze data that are hierarchically structured (Hox, 2010), as is the case in the present study with 80 PE teachers being nested within 55 schools.”
- Statistical Modeling of Spatially Stratified Heterogeneous Data (2022, background): “The presence of SSH undermines inferences based on global statistics that disregard any stratified heterogeneities in the population (Lindley and Novick 1981; Hox 2010, 3).”