Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power

Volume: 68, Issue: 1, Pages: 601 - 625
Published: Jan 3, 2017
Abstract
Traditional methods of analyzing data from psychological experiments are based on the assumption that there is a single random factor (normally participants) to which generalization is sought. However, many studies involve at least two random factors (e.g., participants and the targets to which they respond, such as words, pictures, or individuals). The application of traditional analytic methods to the data from such studies can result in...
Paper Details
Title
Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power
Published Date
Jan 3, 2017
Volume
68
Issue
1
Pages
601 - 625
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