Add to ORKGKarl Pearson and G. Udny Yule developed the main interpretations of correlation used by statisticians for the past century or so. They also examined a number of situations in which the correlation inference was unsatisfactory. This paper considers the development of their ideas on both genuine and spurious correlations and makes some reference to related modern work
There is a deep and well-regarded tradition in economics and other social sciences as well as in the...
The data processed with statistical and artificial intelligence techniques show dichotomous results ...
For decades, statistical methods, many based upon the “general linear model,” have been used to do e...
Aldrich, 1995 J. Aldrich. Correlations genuine and spurious in Pearson and Yule. Statistical Science
One of the more common techniques for measuring relationships between variables is the well-known Pe...
This article is meant to reconstruct-from the standpoint of sociology and history of science-the dev...
Two measures of association for dichotomous variables, the phi-coefficient and the tetrachoric corre...
Jan Smedslund’s most cited publication is a landmark study of illusory correlations published in 196...
The standard error of correlations that have been adjusted for selection with commonly used formula...
Correlations between observed data are at the heart of all empirical research that strives for estab...
ABSTRACT. Pearson (1897) investigated correlations of ratios of bone measurements and found that alt...
Applicability of Pearson’s correlation as a measure of explained variance is by now well understood....
What is the correlation between two variables? Traditional answers offer summary assessments such as...
<p>** Correlations are significant at the 0.01 level (2-tailed)</p><p>* Correlation is significant a...
Correlation is a statistical technique which shows whether and how strongly two continuous variables...
There is a deep and well-regarded tradition in economics and other social sciences as well as in the...
The data processed with statistical and artificial intelligence techniques show dichotomous results ...
For decades, statistical methods, many based upon the “general linear model,” have been used to do e...
Aldrich, 1995 J. Aldrich. Correlations genuine and spurious in Pearson and Yule. Statistical Science
One of the more common techniques for measuring relationships between variables is the well-known Pe...
This article is meant to reconstruct-from the standpoint of sociology and history of science-the dev...
Two measures of association for dichotomous variables, the phi-coefficient and the tetrachoric corre...
Jan Smedslund’s most cited publication is a landmark study of illusory correlations published in 196...
The standard error of correlations that have been adjusted for selection with commonly used formula...
Correlations between observed data are at the heart of all empirical research that strives for estab...
ABSTRACT. Pearson (1897) investigated correlations of ratios of bone measurements and found that alt...
Applicability of Pearson’s correlation as a measure of explained variance is by now well understood....
What is the correlation between two variables? Traditional answers offer summary assessments such as...
<p>** Correlations are significant at the 0.01 level (2-tailed)</p><p>* Correlation is significant a...
Correlation is a statistical technique which shows whether and how strongly two continuous variables...
There is a deep and well-regarded tradition in economics and other social sciences as well as in the...
The data processed with statistical and artificial intelligence techniques show dichotomous results ...
For decades, statistical methods, many based upon the “general linear model,” have been used to do e...