Using confidence intervals for graphically based data interpretation*

From: Canadian Journal of Experimental Psychology | Date: September 1, 2003| Author: | Copyright information

Abstract As a potential alternative to standard null hypothesis significance testing, we describe methods for graphical presentation of data - particularly condition means and their corresponding confidence intervals - for a wide range of factorial designs used in experimental psychology. We describe and illustrate confidence intervals specifically appropriate for between-subject versus within-subject factors. For designs involving more than two levels of a factor, we describe the use of contrasts for graphical illustration of theoretically meaningful components of main effects and ...

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