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점-이연 상관계수×피어슨 적률 상관계수×
분야통계학통계학
계열Hypothesis testHypothesis test
기원 연도19541895
창시자Robert F. TateKarl Pearson
유형Parametric correlation coefficientParametric correlation
원전Tate, R. F. (1954). Correlation between a discrete and a continuous variable. Point-biserial correlation. Annals of Mathematical Statistics, 25(3), 603–607. DOI ↗Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗
별칭rpb, r_pb, point biserial r, item-total correlationpearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi
관련44
요약The point-biserial correlation coefficient (r_pb) measures the strength and direction of the linear association between one naturally dichotomous variable (coded 0/1) and one continuous variable. It is a special case of the Pearson product-moment correlation formally derived by Tate (1954) in the Annals of Mathematical Statistics and is the standard index used in psychometric item analysis, validity studies, and any research context where a binary grouping variable is related to a continuous outcome.The Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association.
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ScholarGate방법 비교: Point-Biserial Correlation · Pearson Correlation. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare