ISSN : 1229-067X
Becoming a useful tool in the modern psychology, Baysian inference is a recent powerful movement to new statistics in order to improve traditional statistics based on the null-hypothesis significance testing (NHST). This tendency substantially challenges the view of cognitive processing and is being widely accepted as a new area of statistics. In this study, the authors introduce Baysian inference in terms of practical tool beyond the scope of the argument between frequency view and Baysian view. In addition, the authors present several examples to indicate how to use Baysian inference for an understanding of the results consisting of response ratio and reaction time that are popular in psychology studies.
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