Question

Manipulating the independent variable creates different treatment groups, comparing the groups shows how the change influences the results.

A) Within subjects design
B) Between subjects design
C) Quasi-experimental design
D) Correlational design

Answer 1

A Between subjects design is where different groups are compared after one group receives experimental manipulation and another does not, to isolate the effect of the independent variable.

Step-by-step explanation:

Manipulating the independent variable to create different treatment groups, and comparing these groups to see how the changes influence the results, is associated with a Between subjects design. In this design, each group goes through all phases of the experiment but only the experimental group is exposed to the experimental manipulation, that is, the treatment or variable being tested. The control group, on the other hand, is not exposed to the experimental manipulation and often receives a placebo treatment to serve as a basis for comparison. The aim is to isolate the effect of the independent variable on the dependent variable by ensuring that the experimental manipulation is the only difference between groups. Any resulting differences in the dependent variable between the experimental and control groups are attributed to the influence of the independent variable. This approach helps to avoid the influence of lurking variables and maintain the integrity of the experimental results.