The point
biserial correlation was used to examine the association between infertility status (primary vs.
The point
biserial correlation coefficient (rpb) will measure the relationship of correct or incorrect answer with overall score and it ranges from 0 to 0.4.
Spearman's correlation coefficient method ([Y.sub.s]) and rank
biserial correlation coefficient ([Y.sub.rb]) method have been employed to analyse any sort of relationship between the two diverse data sets for the two student cohorts in stage one.
The Point-biserial correlation is mathematically equivalent to the Pearson (product moment) correlation that is, if we have one continuously measured variable X (here is the width of edge) and a dichotomous variable Y (here is edge or interior), [r.sub.XY] = [r.sub.pb] (point
biserial correlation coefficient).
(a) Pearson Product-Moment Correlation; (b) Point
Biserial Correlation; (c) Spearman Rank-Order Rho Correlation.
Biserial correlation was applied to find out the relation between the disease and the environmental factors.
Eta
biserial correlation was used to establish the relationship between items and extreme score.
Biserial Correlation Coefficients Means and Standard Deviations of Tested
The point
biserial correlation coefficient ranges for the specific PC-PTSD items and the sources of social support are as follows: -0.14 to -0.34 for the PC-PTSD item assessing nightmares and intrusive thoughts and the sources of social support, -0.13 to -0.38 for the PC-PTSD item assessing avoidance and the sources of social support, -0.09 to -0.32 for the PC-PTSD item assessing hypervigilance and the sources of social support, and -0.28 to -0.45 for the PC-PTSD item assessing numbing and the sources of social support.
To determinate if one variable presents significant correlation with the raw score produced by the variable series, initially was observed the item's
biserial correlation. This step is crucial to choose which items have, indeed, internal consistence and associate themselves well to the score that will be produced.
Other correlations coefficients will test non-linear relationships or those not measured at the interval level, such as phi coefficient, point
biserial correlation coefficient, and others (Lang & Secic, 2006).
In addition,
biserial correlation was used to study the relationship between the images and [L.sup.*], [a.sup.*], and [b.sup.*], and the I had used tetrachoric correlation analysis to assess the relationship between the images and grain patterns.
