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- Title
The Aggregation of Single-Case Results Using Hierarchical Linear Models.
- Authors
van den Noortgate, Wim; Onghena, Patrick
- Abstract
To investigate the generalizability of the results of single-case experimental studies, evaluating the effect of one or more treatments, in applied research various simultaneous and sequential replication strategies are used. We discuss one approach for aggregating the results for single-cases: the use of hierarchical linear models. This approach has the potential to allow making improved inferences about the effects for the individual cases, but also to estimate and test the overall effect, and explore the generality of this effect across cases and under different conditions.
- Subjects
MULTILEVEL models; PSYCHOLOGICAL techniques; MATHEMATICAL models of human behavior; BEHAVIORAL assessment; INFERENCE (Logic)
- Publication
Behavior Analyst Today, 2007, Vol 8, Issue 2, p196
- ISSN
1539-4352
- Publication type
Article
- DOI
10.1037/h0100613