Combining single-case experimental data using hierarchical linear models.
By W. Van den Noortgate, Patrick Onghena. 2003
203 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Management Science and Operations Research, Software
View Paper: https://www.semanticscholar.org/paper/d2befa84cb3f8730f219de7075e8385bbcd32f82
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- Mieke Heyvaert
- Patrick Onghena
- W. Van den Noortgate
- W. Shadish
- L. Hedges
- D. Rindskopf
- Marieke van Geel
- A. J. Visscher
In Management Science and Operations Research
- Mieke Heyvaert
- Patrick Onghena
- W. Van den Noortgate
- L. Hedges
- Marieke van Geel
- A. J. Visscher
- Jean-Paul Fox
- D. Rindskopf
In Software
Citations in the corpus
- Randomization tests for single-case experiments: State of the art, state of the science, and state of the application (2014, methodology): “Advantages of these regressionbased effect sizes are their ability to account for linear or nonlinear trends in the data as well as for dependent error structures within the SCE data (Maggin et al., 2011; Van den Noortgate & Onghena, 2003b).”
- Effects of the Good Behavior Game on Challenging Behaviors in School Settings (2014, methodology): “The following three-level regression model has been suggested (Van den Noortgate & Onghena, 2003) as a method of summarizing such results: ϒijk jk jk ijk jk jk jk ijk ijk ijkD T D T e= + + + +β β β β0 1 2 i 3 .”
- A multilevel meta-analysis of single-subject experimental design studies (2008, methodology): “Van den Noortgate and Onghena (2003a) illustrated the use of a two level model to analyze this kind of data.”
- The Aggregation of Single-Case Results Using Hierarchical Linear Models. (2007, unknown): “Several extensions are discussed and illustrated by Van den Noortgate and Onghena (2003a; 2003b).”
- Assessing the Effects of a School-Wide Data-Based Decision-Making Intervention on Student Achievement Growth in Primary Schools (2016, background): “Jenson, Clark, Kircher, and Kristjansson (2007) and Van den Noortgate and Onghena (2003) advocated the use of hierarchical linear models to improve the statistical inferences.”
- The state of the science in the meta-analysis of single-case experimental designs (2008, background): “The authors conclude their article by recommending that more attention be given to the kind of multilevel modeling that van den Noortgate and Onghena ( 2003 ) have pioneered.”