Warning:
JavaScript is turned OFF. None of the links on this page will work until it is reactivated.
If you need help turning JavaScript On, click here.
The Concept Map you are trying to access has information related to:
multiple regression estimation procedure, explained variance, by hand, a variable is not entered twice in the same tracing, use tracing rule, interpreted same as path coefficients, valid tracings, fitness -- stress (-.11) stress -- illness (.29 (-.11)(.29)=-.03, (1-r^2)sy^2, standaridized path coefficients, (1- r^2), general steps, = .30, do not calculate, a variable is not entered through an arrowhead and exited by the same arrowhead, no consensus, covariances (unalyzed associations) of the disturbances, very error prone, unstandardized path coefficents, total unstandardized effects, r^2, .10, model implied or predicted correlations, sum of the standardized total effects and all other noncausal associations (e.g., spurious), partial correlation between the endogenous variables controlling for their common causes, interpreted same as path coefficients, observed correlations, .50, illiness is expected to decrease by -.03 standard deviations given a change of 1 full standard deviation in fitness via its effect on stress, a mediatior variable, variances and covariances (unanalyzed associations) of the observed exogenous variables, for example, the standardized path coefficient for the direct effect fitness -- illness is -.26, which means that illnessis predicted to decline by .26 standard deviations given a change in fitness of 1 standard deviation and no change on other variables also specified to affect illness, indirect and total effects, variances of the disturbances, how?, direct, partially recursive models w out direct effects between the endogenous variables., pearson correlation, a model-implied correlation is the sum of the causal effects and noncausal associations from all valid tracings between two variables in a path model, rule of thumb, unstandarized path coefficients, all variables specified to directly affect it as predictors in a gregression equation, pattern of significant indirect effects but nonsignificant direct ones (baron & kenny, 1986), covariance, indirect direct effects, total effects, intrepetation, sum of the unstandardized total effects and all other noncausal associations (e.g., spurious), model implied or predicted covariances, effects decomposition table, basic estimates, total standardized effects, mediation, direct effects on the endogenous variables from other observed variables, endogenous varialbe, multiple regression, indirect