Hierarchical Linear Modeling against the Gold Standard of Visual Analysis in Single-Subject Design
Visual analysis is the Gold Standard for single-subject data because of two assumptions: a low Type I error rate and consistency across raters. However, research has shown it less reliable and accurate than desired. Autocorrelation, variability, trend, lack of obvious mean shift, and differences in...
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| Format: | Others |
| Language: | en |
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LSU
2008
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| Online Access: | http://etd.lsu.edu/docs/available/etd-02242008-205541/ |