심리학 연구를 위한 실용적인 베이지언 추론의 소개
Introduction to the practical using of Baysian inference for Psychology Research
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참고문헌
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초록
베이지언 처리는 근래 심리학에서 유용한 도구로 자리 잡아 가고 있다. 이러한 흐름은 심리학에서 인지처리를 보는 관점의 변화를 일으키고 있으며 영가설 검증에 기반을 둔 전통적인 통계 처리 방식과 경쟁하며 뿌리를 내리고 있다. 이 논문에서 통계 처리에 관한 두 관점인 빈도 주의와 베이지언 주의의 논쟁에서 벗어나 베이지언 처리 방식을 하나의 실용적인 처리 도구라는 관점에서, 심리학 연구의 주된 측정치인 반응비율과 반응시간을 베이지언 추론에서 어떻게 분석하는지 소개하고자 한다.
Abstract
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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