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Testing the Intervention Effect in Single-Case Experiments: A Monte Carlo Simulation Study
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- معلومة اضافية
- Peer Reviewed:
Y
- المصدر:
22
- الموضوع:
- الرقم المعرف:
10.1080/00220973.2015.1123667
- ISSN:
0022-0973
- نبذة مختصرة :
This article reports on a Monte Carlo simulation study, evaluating two approaches for testing the intervention effect in replicated randomized AB designs: two-level hierarchical linear modeling (HLM) and using the additive method to combine randomization test "p" values (RTcombiP). Four factors were manipulated: mean intervention effect, number of cases included in a study, number of measurement occasions for each case, and between-case variance. Under the simulated conditions, Type I error rate was under control at the nominal 5% level for both HLM and RTcombiP. Furthermore, for both procedures, a larger number of combined cases resulted in higher statistical power, with many realistic conditions reaching statistical power of 80% or higher. Smaller values for the between-case variance resulted in higher power for HLM. A larger number of data points resulted in higher power for RTcombiP.
- نبذة مختصرة :
As Provided
- Number of References:
68
- الموضوع:
2017
- الرقم المعرف:
EJ1126567
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