There are several advantages of using a paired ttest Since t

There are several advantages of using a paired t-test. Since the same subjects are being tested in each of the varying conditions, those subjects serve as their own control. This is a major advantage as you need not consider potential differences between the subjects in the control group and the subjects who are in the experimental group. Elaborate on this concept by providing examples in which you do and do not have the same subjects serving as their own control. There are also potential problems associated with interpreting the results of a paired t-test. Imagine you are interested in determining whether an employee of a company performs better with or without a bonus. What are some issues that could affect the results if you have the same subjects tested in both situations?

Solution

In order to avoid experimental bias, experimental blinds are usually applied in between-group designs. The most commonly used type is the single blind, which keeps the subjects blind without identifying them as members of the treatment group or the control group. In a single-blind experiment, a placebo is usually offered to the control group members.

The utilization of the between-group experimental design has several advantages. First, multiple variables, or multiple levels of a variable, can be tested simultaneously, and with enough testing subjects, a large number can be tested

The main disadvantage with between-group designs is that they can be complex and often require a large number of participants to generate any useful and reliable data. For example, researchers testing the effectiveness of a treatment for severe depression might need two groups of twenty patients for a control and a test group. If they wanted to add another treatment to the research, they would need another group of twenty patients. The potential scale of these experiments can make between-group designs impractical due to limited resources, subjects and space.

Some research has been done regarding whether it is possible to design an experiment that combines within-subject design and between-group design, or if they are distinct methods. A way to design psychological experiments using both designs exists and is sometimes known as \"mixed factorial design\" In this design setup, there are multiple variables, some classified as within-subject variables, and some classified as between-group variables