Steps in Quasi-Experimental Design

Here are the general steps involved in conducting a quasi-experimental design:

Identify the research question: Determine the research question and the variables that will be investigated.
Choose the design: Choose the appropriate quasi-experimental design to address the research question. Examples include the pretest-posttest design, non-equivalent control group design, regression discontinuity design, and interrupted time series design.
Select the participants: Select the participants who will be included in the study. Participants should be selected based on specific criteria relevant to the research question.
Measure the variables: Measure the variables that are relevant to the research question. This may involve using surveys, questionnaires, tests, or other measures.
Implement the intervention or treatment: Implement the intervention or treatment to the participants in the intervention group. This may involve training, education, counseling, or other interventions.
Collect data: Collect data on the dependent variable(s) before and after the intervention. Data collection may also include collecting data on other variables that may impact the dependent variable(s).
Analyze the data: Analyze the data collected to determine whether the intervention had a significant impact on the dependent variable(s).
Draw conclusions: Draw conclusions about the relationship between the independent and dependent variables. If the results suggest a causal relationship, then appropriate recommendations may be made based on the findings.