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Multiple Baseline Single-Case Experimental Design
Multiple baseline single-case experimental designs (SCEDs) provide a powerful and cost-effective framework for research aimed at exploring the effects of interventions. After first discussing SCED, this entry further explores the multiple baseline design, including its strengths and weakness. An example of SCED is also provided.
Single-Case Experimental Designs
SCEDs are unique in that they conduct experimental investigations with a single case or series of cases. A case might be an individual or a larger single unit like a business or school. These designs contrast common experimental designs (e.g., randomized controlled trials) that are conducted using large sample sizes, multiple groups (typically including a control group), and few conditions (i.e., one control condition and one experimental condition). Such large nomothetic studies are often considered the gold standard of ...
- Bayesian Statistics
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- “Coefficient Alpha and the Internal Structure of Tests”
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- “On the Theory of Scales of Measurement”
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- Welch’s t Test
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- Statistical Tests
- F Test
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- Chi-Square Test
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- Friedman Test
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- Kruskal–Wallis Test
- Mann–Whitney U Test
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- Multiple Comparison Tests
- Newman–Keuls Test
- Omnibus Tests
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- Structural Equation Modeling
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