Question

Which of the following is a reason why multiple regression designs are inferior to experimental designs?

1) Lack of control over variables
2) Difficulty in establishing causality
3) Limited generalizability
4) All of the above

Answer 1

Multiple regression designs are considered inferior to experimental designs due to a lack of control over variables, difficulty in establishing causality, and limited generalizability.

Step-by-step explanation:

Multiple regression designs are considered inferior to experimental designs for multiple reasons:

1. Lack of control over variables: In multiple regression designs, researchers do not have control over the independent variables, which can lead to confounding and the inability to establish causal relationships.
2. Difficulty in establishing causality: Due to the lack of control over variables, it can be challenging to determine causality in multiple regression designs. There may be lurking variables or other factors influencing the relationship between the independent and dependent variables.
3. Limited generalizability: Multiple regression designs often rely on a limited sample size, making it difficult to generalize the findings to a larger population. Experimental designs, on the other hand, typically involve larger sample sizes and random assignment of participants, leading to greater generalizability.

Therefore, the correct answer is option 4) All of the above.