Experimental Design Sequence Explained

A true experimental design requires a specific, logical order of steps to effectively investigate cause-and-effect relationships. This structured approach ensures reliability and validity.

True Experiment Steps: Core Sequence

Understanding the correct progression is vital for designing and interpreting experiments accurately.

• C. Identification of population: This initial step involves defining the broader group that the research aims to study.
• A. Random selection of total sample units: A subset of individuals or units is randomly chosen from the population to participate in the study. This is key for generalizability.
• E. Random division of sampled units into two groups: The randomly selected sample is then divided into distinct groups (typically an experimental group and a control group) using random assignment.
• D. Random assignment of treatment to one group: The experimental intervention is specifically designated for administration to only one of these randomly formed groups.
• B. Exposure to the treatment: The designated experimental group receives the treatment or manipulation under investigation.

Sequence Rationale for Experiments

The justification for this specific order ensures the validity of findings:

• Population and Sampling (C, A): Establishes the scope and representativeness of the study.
• Random Assignment to Groups (E): Creates equivalent groups before the treatment, minimizing bias from pre-existing differences.
• Treatment Application (D, B): Isolates the variable being tested, allowing its impact to be measured against the control group.