partial correlation


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Related to partial correlation: multiple correlation, partial correlation coefficient

partial correlation

[′pär·shəl ‚kär·ə′lā·shən]
(statistics)
The strength of the linear relationship between two random variables where the effect of other variables is held constant.
References in periodicals archive ?
Second, as the index of a more non-defensive form of Christian commitment, partial correlations for Biblical Foundationalism should be positive with both forms of Religious Reflection; all three Religious Schema measures; Intrinsic, Extrinsic Personal, and perhaps Extrinsic Social Religious Orientations; all four Extrinsic Cultural motivations; and Need for Cognition.
The significance level in the above regression analysis is less than 0/05 and the partial correlation coefficient is equal to 0/284 which indicates the positive effect of unity and consensus on organizational citizenship behavior of the understudy municipal employees.
This is not the case, however, with the estimates of the partial correlation of surges with long-standing and episodic controls (columns 4-7 and 4-8).
Pearson correlation coefficients and partial correlations were used to determine item-total correlations as well as to estimate the strength and unique variance in the relationships between the NSI total score and TBI and affective diagnostic groups.
10]), these variables are included in the final model form due to their statistically significant partial correlations (p < 0.
To give only a few examples of countries with large samples in the World Values Survey, Turkey has a robust positive religiosity-fertility partial correlation of +.
Table 4 displays the partial correlations between kindergarten estimated growth and child characteristics, after partialling out end-of-year performance.
This paper explores the opportunities for investment diversification in the EU stock markets by employing partial correlation in portfolio creation.
Table 4 (A) and 4 (B) shows the autocorrelation and partial correlation results for dividend of current year respectively.
In addition to fitting models with a dichotomous exposure variable, we calculated partial correlation coefficients for all sperm outcomes and the selected groupings of DBPs as continuous variables adjusted for paternal age, days abstaining, and education.
The score statistics (a measure of association used in logistic regression), and the partial correlation for each independent variable are indicators as to which variable/s should be selected in the backward procedure.