Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University
A factorial design is a common type of experiment where there are two or more independent variables. This video demonstrates a 2 x 2 factorial design used to explore how self-awareness and self-esteem may influence the ability to decipher nonverbal signals. This video leads students through the basics of a factorial design including, the nature of a factorial design and what distinguishes it from other designs, the benefits of factorial design, the importance and nature of interactions, main effect and interaction hypotheses, and how to conduct a factorial experiment.
1. Introduction of topic/research question
After collecting data from 136 people, a two-way analysis of variance (ANOVA) was performed to test the two main effects and interactions. As shown in Figure 1, contrary to the hypothesized pattern, when participants had high self-awareness, they were more accurate when they had low self-esteem; however, when they had low self-awareness, they were more accurate when they had high self-esteem.
Beyond their influence on deciphering the meaning in a person’s eyes, gre
A factorial design is commonly used in psychology experiments. This design is beneficial for a variety of topics, ranging from pharmacological influences on fear responses to the interactions of varying levels of stress and types of exercise.
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