Final answer:
The type of bias affecting how treatments or interventions are delivered is known as experimenter bias, which can be mitigated using double-blind studies and standardized protocols.
Step-by-step explanation:
The type of bias that occurs when something affects the delivery of treatments or interventions is known as experimenter bias. Experimenter bias happens when a researcher's expectations influence the outcome of a study. If those conducting the research have predefined expectations or preferences, they may inadvertently provide clues or changes in their behavior, which can affect the results of the treatment or intervention being studied. A well-known form of experimenter bias is the expectancy effect, where researchers' beliefs about the efficacy of a treatment may inadvertently influence participants through subtle cues or changes in interaction.
To mitigate this, studies often use a double-blind methodology, where neither the participants nor the experimenters are aware of who receives the actual treatment or the placebo, if applicable. This approach helps to reduce the potential for bias and ensures a more objective assessment of the treatment's or intervention's effectiveness. Other strategies to prevent experimenter bias include standardized protocols, training for researchers, and utilizing objective measures wherever possible.