Experiment

Definition

An experiment is a controlled study designed to test hypotheses and establish cause-and-effect relationships by manipulating one or more independent variables while observing the effect on dependent variables. This method allows researchers to systematically investigate the impact of specific factors, leading to stronger causal inference, especially when aligned with Hill's criteria for establishing causality.

5 Must Know Facts For Your Next Test

1. Experiments can be conducted in various settings, including laboratories and field settings, depending on the research question and practical considerations.
2. Randomized controlled trials (RCTs) are considered the gold standard in experimental design due to their ability to minimize bias and confounding variables.
3. The manipulation of independent variables in an experiment helps establish temporal relationships, which is essential for making causal inferences.
4. Ethical considerations must be taken into account when designing experiments, especially when involving human subjects, to ensure informed consent and minimize harm.
5. The results of experiments can support or refute existing theories, contributing to the broader understanding of public health issues and guiding evidence-based practice.

Review Questions

• How does randomization enhance the reliability of results in an experiment?
  • Randomization enhances reliability by ensuring that participants are assigned to treatment or control groups purely by chance, which minimizes selection bias. This process helps create comparable groups at baseline, allowing any observed differences in outcomes to be attributed more confidently to the intervention being tested rather than other confounding factors. By balancing known and unknown variables across groups, randomization strengthens causal inferences drawn from the results.
• What ethical considerations should researchers keep in mind when designing experiments involving human subjects?
  • Researchers must prioritize ethical considerations such as informed consent, ensuring that participants fully understand the purpose, risks, and benefits of the experiment before agreeing to participate. Additionally, it is crucial to minimize any potential harm or discomfort to participants throughout the study. Researchers should also have mechanisms for monitoring and addressing any adverse effects during the experiment and ensure that participants' privacy and confidentiality are protected.
• Evaluate the importance of Hill's criteria in strengthening causal claims made from experimental data.
  • Hill's criteria provide a framework for assessing causality beyond mere correlation observed in experimental data. By considering factors such as strength, consistency, specificity, temporality, biological gradient, plausibility, coherence, experiment, and analogy, researchers can bolster their claims about causal relationships. An experiment that aligns with several of Hill's criteria—particularly temporality (showing that exposure precedes outcome) and biological gradient (demonstrating a dose-response relationship)—offers stronger evidence that the intervention or exposure is indeed causal rather than coincidental.

Related terms

Randomization: The process of randomly assigning participants to different groups in an experiment to eliminate bias and ensure that the groups are comparable.

Control Group: A group in an experiment that does not receive the treatment or intervention being tested, serving as a baseline for comparison with the experimental group.

Blinding: A technique used in experiments where participants (single-blind) or both participants and researchers (double-blind) do not know which group they belong to, helping reduce bias in the results.