product-moment correlation

prod·uct-mo·ment cor·re·la·tion

a statistical procedure that yields the correlation coefficient referred to as r (-1.00 to +1.00) and involves the actual values, rather than the ranks (rank order) of the measurements.
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The first objective of the study was to explain the relationship between depressions, anxiety, stress and self-harm, which was assessed by using Pearson Product-moment Correlation.
PROBLEM ONE--Pearson Product-moment Correlation Coefficient Many studies in psychology and the other social sciences focus on determining the relationship between two variables.
The following statistical tests were used: The Pearson product-moment correlation, One- way Anova with Tukey HSD comparison and Independent Sample T- test, as well as frequency tests.
Then, the correlation of curriculum, engagement and burnout was evaluated by using the Pearson product-moment correlation coefficient based on a unilateral contrast.
r-value is a Pearson product-moment correlation coefficient.
Pearson product-moment correlation was used to measure the degree of correation between right and left gonial angles on OPG and on lateral cephalogram.
Two correlation coefficients are in common use: Spearman rank-order correlation coefficient for nonparametric data and Pearson product-moment correlation coefficient for parametric data.
The relationships between hardiness (as measured by PVS-III), optimism (as measured by LOT-R) and professional life stress (as measured by PLSS) were investigated using Pearson product-moment correlation.
The correlations between measured variables and jump height were tested between the swimming and volleyball groups using Pearson's product-moment correlation coefficient.
i] based on the sample, the product-moment correlation p is the population-level correlation, which cannot be calculated but is estimated by [?
The formula for computing the Pearson product-moment correlation r is as follows:
The results of the Pearson product-moment correlation coefficient analysis which was obtained to define item-total and item-reminder found statistically positive correlations between all items.

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