Contents
What is a 2×3 between-subjects design?
A 2 means that the independent variable has two levels, a 3 means that the independent variable has three levels, a 4 means it has four levels, etc. To illustrate a 3 x 3 design has two independent variables, each with three levels, while a 2 x 2 x 2 design has three independent variables, each with two levels.
How many groups are in a 2×3 factorial design?
Such designs are classified by the number of levels of each factor and the number of factors. So a 2×2 factorial will have two levels or two factors and a 2×3 factorial will have three factors each at two levels.
What is the primary difference between a within-subjects and between-subjects design?
Between-subjects (or between-groups) study design: different people test each condition, so that each person is only exposed to a single user interface. Within-subjects (or repeated-measures) study design: the same person tests all the conditions (i.e., all the user interfaces).
What is a 2 level factorial design?
Two level factorial experiments are factorial experiments in which each factor is investigated at only two levels. The early stages of experimentation usually involve the investigation of a large number of potential factors to discover the “vital few” factors.
How is a between-subjects design used in an experiment?
At its most basic level, this design requires a treatment condition and a control condition, with subjects randomly assigned to one of the two conditions. An experiment with three treatment conditions would have three groups of subjects, with each group receiving one of the three treatment conditions, and so on.
Which is an alternative to a between-subjects design?
The alternative to a between-subjects design is a within-subjects design, where each participant experiences all conditions. Researchers test the same participants repeatedly to assess differences between conditions.
When to use between subjects and within subjects?
Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.
Why are there no control groups in between subjects design?
Researchers test the same participants repeatedly to assess differences between conditions. There are no control groups in within-subjects designs because participants are tested before and after independent variable treatments.