Results 221 to 230 of about 1,417,979 (268)

The ‘correlates’ in neural correlates of consciousness

Neuroscience & Biobehavioral Reviews, 2012
In the search for neural correlates of consciousness (NCC), the concept of 'consciousness' remains problematic. We suggest that not only the 'consciousness' in neural correlates of consciousness is a confused term, but 'correlates' is as well. When brain events are found to covary with conscious experience, these brain events can be the neural ...
de Graaf, T.A., Hsieh, P.J., Sack, A.T.
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Comparing correlated correlation coefficients.

Psychological Bulletin, 1992
The purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple extensions of Dunn & Clark's (1969) work using the Fisher z transformation and include a test and confidence interval for comparing two correlated ...
Rosenthal, Robert, Rubin, Donald, Meng, Xiao-li   +2 more
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Comparing correlated but nonoverlapping correlations.

Psychological Methods, 1996
A common situation in psychological research involves the comparison of two correlations on the same sample of subjects, in which the correlations are nonoverlapping in the sense of having a variable in common (e.g., ru and r2) rather than r,3 and r,2). The classic statistic for this situation is the Pearson- Filon statistic, (PF) which is based on the
Rosenthal, Robert, Raghunathan, T. E., Rubin, Donald   +2 more
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Comparison of correlated correlations

Statistics in Medicine, 1989
AbstractWe consider a problem where k highly correlated variables are available, each being a candidate for predicting a dependent variable. Only one of the k variables can be chosen as a predictor and the question is whether there are significant differences in the quality of the predictors.
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An analysis of correlation matrices: Equal correlations

Biometrika, 1984
In terms of the large-sample joint distribution of Z, the \(2^{-1}p(p- 1)\) Fisher z-transforms of the elements in a \(p\times p\) correlation matrix, the authors prove that the variance matrix of Z has just three projector matrices in its spectral decomposition under the hypothesis of equal population correlations.
Brien, C. J., Venables, W. N., James, A. T., Mayo, O.   +3 more
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On the Correlation Between Correlations

Biometrika, 1975
Specific tests for the equality of two dependent interclass correlations, estimated from a multivariate sample, have been examined in some detail by Dunn & Clark (1969, 1971). In this paper I wish to consider the dependencies among correlation coefficients in more generality, whether interclass or intraclass, and hence to suggest appropriate large ...
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Correlation of the ranges of correlated samples

Biometrika, 1967
Knowledge of the correlation coefficient between the ranges of two correlated samples is required in the analysis of experimental designs by short-cut techniques (Hartley, 1950; David, 1951; Kurtz et al. 1965a, b) and in industrial quality control when the machine concerned is of the multi-spindle variety (Moore, 1958).
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Correlatives

Language and Linguistics Compass, 2012
AbstractThe paper reviews the semantics and pragmatics of correlatives across various ontological domains (temporal, modal, individual and degree domains), focusing mostly on Indo‐European languages. Taking correlatives in the individual domain as a case study, the paper then argues that their interpretation, in particular the variability of the ...
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Blurred Correlation Versus Correlation Blur

2005
We discuss the topic of correlation in a scale space setting. Correlation involves two distinct scales. The “outer scale” is the scale of the region over which the correlation will be calculated. Classically this is the whole space of interest, but in many cases one desires the correlation over some region of interest. The “inner scale” is the scale at
Koenderink, J.J., van Doorn, A.J.
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Serial Correlation

Psychometrika, 1946
Formulas are presented for triserial correlation, quadriserial correlation, etc., and for serial correlation in general. These formulas are based on well-known procedures outlined by Kelley, Peters and Van Voorhis, and others, and involve Pearson's correction for “broad categories.” The formula for biserial correlation also may be developed following ...
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