Understanding Quasi-Experimental and Experimental Designs

What is the primary distinction between quasi-experimental and experimental designs?

• Quasi-experimental designs use random assignment.

• Experimental designs lack empirical studies.

• Quasi-experimental designs lack random assignment.

• Experimental designs do not involve any variables.

Why is random assignment crucial in experimental studies?

• It allows for the study of non-empirical data.

• It eliminates the need for a control group.

• It ensures groups are qualitatively and quantitatively different.

• It helps in making groups similar on variables of interest.

In the context of studying violence in children, what risk is associated with not using random assignment?

• Children may not watch any TV.

• The study may become too expensive.

• It may be unclear if violent programming causes violent behavior.

• The study may not include enough participants.

Why might random assignment not be feasible in some studies?

• It is not scientifically valid.

• It is always feasible in all studies.

• It requires too many participants.

• Some variables, like age, cannot be randomly assigned.

When is a quasi-experimental design necessary?

• When there is no interest in empirical studies.

• When variables of interest, like age, cannot be assigned randomly.

• When following participants over their entire life.

• When studying variables that can be randomly assigned.