Dear all, I hope someone can help me out with the following issue, because it is giving me a headache.
For practical reasons I will simplify the problem dramatically. I have a number of manifest variables, some acting as predictors and some as outcomes. One of those predictors has a behaviour I do not understand: 1. In bivariate correlations it has a positive association with all outcomes 2. In regression models (all predictors) against each of the outcomes, it still shows positive (standardised) betas BUT when in a structural equation model (with all predictors making a single exogenous, and all outcomes a single endogenous variable) its regression weight sign is minus! In addition: This predictor does not have high correlations with the rest of the predictors (approx. max r = .30) Frankly I do not understand this behaviour. Any ideas will be greatly appreciated All the best Niko Tiliopoulos Department of Psychology School of Philosophy, Psychology & Language Sciences College of Humanities & Social Science The University of Edinburgh -------------------------------------------- . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
