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Biserial Correlation

Biserial correlation is a statistical measure that quantifies the relationship between a binary variable (usually represented by two categories) and a continuous variable. It measures the strength and direction of association between these variables.

Senses and Usages:

• Sense 1: In statistics, biserial correlation refers to the correlation coefficient calculated between a binary variable and a continuous variable. It provides insights into how closely these two variables are related.
  Example Sentence: The biserial correlation value between the gender (male/female) and income of the participants showed a significant positive association (r = 0.72, p < 0.001).
• Sense 2: Biserial correlation can also be used to study the relationship between a dichotomous variable (presence/absence) and a continuous variable.
  Example Sentence: The research study analyzed the biserial correlation between the occurrence of heart disease (dichotomous variable) and the age of the patients.
• Sense 3: Biserial correlation is commonly used in psychometrics to measure the relationship between a dichotomous question in a survey or test and a total score.
  Example Sentence: The biserial correlation coefficient indicated a strong positive relationship (r = 0.85) between individuals' educational level and their performance on the intelligence test.

Possible Related Products on Amazon:

• Books on Biserial Correlation
• Software for Biserial Correlation Analysis
• Statistical Resources - Biserial Correlation