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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:
      Monte Carlo Methods; Simulation; Intervention; Replication (Evaluation); Randomized Controlled Trials; Incidence; Hierarchical Linear Modeling; Research Design; Error Patterns; Testing; Least Squares Statistics; Regression (Statistics)
    • 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