Causal-comparative and experimental research are both types of non-experimental research methods, but they differ significantly in their design, purpose, and the type of conclusions they allow researchers to draw.

Causal-Comparative Research

Causal-comparative research, also known as ex post facto research, aims to identify and establish a cause-and-effect relationship between variables. However, unlike experimental research, causal-comparative research does not involve the manipulation of the independent variable by the researcher. Instead, the researcher observes pre-existing conditions or phenomena and examines how they relate to an outcome of interest.

In causal-comparative research, the researcher identifies groups that differ on the independent variable and compares them in terms of the dependent variable. The groups are typically formed based on naturally occurring variations rather than manipulation. Since the researcher cannot control or randomly assign participants to different groups, causal-comparative research is considered weaker in establishing causal links compared to experimental research.

For example, consider a study examining the academic performance of students from different socioeconomic backgrounds. The researcher does not manipulate the socioeconomic status of the students but rather compares existing groups (students from low-income, middle-income, and high-income families) to investigate if there is any significant difference in academic