Experiment

Definition

An experiment is a controlled study conducted to test a hypothesis by manipulating one or more independent variables and observing the effects on one or more dependent variables. The goal is to establish cause-and-effect relationships, providing clearer insights compared to observational studies. Through random assignment and control groups, experiments aim to minimize bias and variability, making findings more reliable.

5 Must Know Facts For Your Next Test

1. Experiments can be classified into different types, including laboratory experiments, field experiments, and natural experiments, each varying in control and realism.
2. The validity of an experiment largely depends on how well it controls for extraneous variables that could influence the results.
3. In order to draw strong conclusions from an experiment, researchers often use statistical analysis to assess the significance of their findings.
4. Ethical considerations are crucial when designing experiments, especially those involving human subjects, requiring informed consent and minimizing harm.
5. Replication of experiments is essential in scientific research, as it allows other researchers to verify findings and strengthen the overall body of evidence.

Review Questions

• How does random assignment enhance the reliability of experimental results?
  • Random assignment helps ensure that any differences observed between experimental groups can be attributed to the treatment rather than other variables. By randomly assigning participants, researchers create comparable groups at the start of an experiment, which minimizes biases related to confounding variables. This process strengthens the internal validity of the study and supports the establishment of cause-and-effect relationships.
• Discuss how control groups are used in experiments and why they are important.
  • Control groups are vital in experiments because they provide a baseline for comparison against the experimental group. By not receiving the treatment or intervention, control groups help researchers determine if the changes observed in the experimental group are due to the treatment or other factors. This comparative approach enhances the validity of conclusions drawn from the experiment and helps isolate the effect of the independent variable.
• Evaluate the role of ethical considerations in designing experiments involving human subjects.
  • Ethical considerations play a critical role in experimental design, particularly when human subjects are involved. Researchers must prioritize informed consent, ensuring participants understand what the study entails and any potential risks. Additionally, minimizing harm and ensuring confidentiality are essential ethical principles. By adhering to these guidelines, researchers uphold the integrity of their work while respecting the rights and welfare of participants, ultimately leading to more responsible scientific practices.

Related terms

Random Assignment:

A technique used in experiments to randomly allocate participants to different groups, ensuring each participant has an equal chance of being assigned to any group.

Control Group:

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

Independent Variable:

The variable that is manipulated in an experiment to determine its effect on the dependent variable.