Quasi-Experimental Design

Q1: Advantages and Disadvantages

Advantages:

1. Baseline Measurement: The pretest provides a baseline measurement of the dependent variable, allowing for comparison before and after the intervention.
2. Change Measurement: The posttest measures the effects of the intervention, providing insights into its impact.
3. Simplified Design: This design is relatively straightforward and easy to implement, especially in settings where random assignment is not feasible.
4. Practicality: It is often easier to apply in real-world settings where controlling for all variables might be challenging.

Disadvantages:

1. Threats to Internal Validity: Without random assignment, there are threats like maturation, history, and testing effects that could influence the results.
2. No Control Group: Lacking a control group makes it difficult to attribute observed changes solely to the intervention, as…

Q1: Advantages and Disadvantages

Advantages:

1. Baseline Measurement: The pretest provides a baseline measurement of the dependent variable, allowing for comparison before and after the intervention.
2. Change Measurement: The posttest measures the effects of the intervention, providing insights into its impact.
3. Simplified Design: This design is relatively straightforward and easy to implement, especially in settings where random assignment is not feasible.
4. Practicality: It is often easier to apply in real-world settings where controlling for all variables might be challenging.

Disadvantages:

1. Threats to Internal Validity: Without random assignment, there are threats like maturation, history, and testing effects that could influence the results.
2. No Control Group: Lacking a control group makes it difficult to attribute observed changes solely to the intervention, as…

Q1: Advantages and Disadvantages

Advantages:

1. Baseline Measurement: The pretest provides a baseline measurement of the dependent variable, allowing for comparison before and after the intervention.
2. Change Measurement: The posttest measures the effects of the intervention, providing insights into its impact.
3. Simplified Design: This design is relatively straightforward and easy to implement, especially in settings where random assignment is not feasible.
4. Practicality: It is often easier to apply in real-world settings where controlling for all variables might be challenging.

Disadvantages:

1. Threats to Internal Validity: Without random assignment, there are threats like maturation, history, and testing effects that could influence the results.
2. No Control Group: Lacking a control group makes it difficult to attribute observed changes solely to the intervention, as…