SPHR 2102 Lecture Notes - Lecture 7: Lincoln Near-Earth Asteroid Research, Statistical Significance

• School: GWU
• Department: Speech and Hearing Science
• Course: SPHR 2102
• Professor: Wallace

Document Summary

Increasing the number of levels of an iv. Provides more information about the relationship than a two level design. Designs with more than one independent variable (or factor) Example: herman et al. (2009) modeling of food intake when with another. Each subject paired with a confederate to watch and rate movie trailers (in person who is eating comfortable environment and bowl of m&ms w/in easy reach) Confederate sociability (i. e. , initiating a conversation or not) Confederate food intake (1 m&m taken immediately [total: 6] in low intake condition vs. 4 m&ms taken immediately [total: 24] in high intake condition) Figure 10. 3 - 2 x 2 factorial design: setup of food intake modeling. Table 10. 1 - 2 x 2 factorial design: results of the food intake modeling. Factorial designs with manipulated and non-manipulated variables. Iv x pv designs: independent variable by participant variable. Can be two participant variables (e. g. , diagnosis and gender) or two experimental.