Final answer:
Three potential limitations of a multiple baseline across people design include limited generalizability, observer bias, and participant reactivity, each of which can affect the study's outcomes.
Step-by-step explanation:
Limitations of Multiple Baseline Across People Design
When discussing the limitations of a multiple baseline across people design, it's important to consider various factors that can affect the validity and reliability of the study. The three potential limitations of such a design are:
Limited generalizability - Since the interventions are often tailored to the individuals within the study, the results may not be applicable to a larger population or different demographic groups.
Observer bias - Observers might unconsciously skew their observations to fit their research goals or expectations; therefore, it is vital to have clear criteria for recording behaviors and to assess the consistency of observations by different observers.
Participant reactivity - The subjects' knowledge that they are being observed and their desire to please the researchers can influence their behavior, potentially skewing the study's results.
It is crucial for researchers to establish rigorous protocols to mitigate these limitations, like clear criteria for observations, inter-rater reliability checks, and methods to minimize participant reactivity.