- In
probability theory and statistics,
covariance is a
measure of the
joint variability of two
random variables. The sign of the covariance, therefore,...
-
Harold Kelley's
covariation model (1967, 1971, 1972, 1973) is an
attribution theory in
which people make
causal inferences to
explain why
other people...
-
denotes the
optional quadratic covariation of the
continuous parts of X and Y,
which is the
optional quadratic covariation minus the
jumps of the processes...
- this is in
particular the case for
Brownian motion. More generally, the
covariation (or cross-variance) of two
processes X {\displaystyle X} and Y {\displaystyle...
-
explained by a
covariation bias. In an
experiment (Schienle et al. 1996) 22
believers and 20
skeptics were
asked to
judge the
covariation between transmitted...
- Kelley,
individuals make
attributions by
utilizing the
covariation principle. The
covariation principle claims that
people attribute behavior to the factors...
-
expression of
abnormal forms in
distantly related species.
Integration or
covariation among traits during development has been
suggested to
constrain phenotypic...
-
initio with the
sequence only (usually by
machine learning, ****isted by
covariation). The
structures for
individual domains are
docked together in a process...
- As an
extension of SCCT,
Andreas Schwarz suggested to
apply Kelley's
covariation principle (attribution theory) more
consistently in
crisis communication...
- on
interdependence theory as well as
attribution theory,
proposed a
covariation model in 1973 to
explain the way
people make attributions. This model...
