Path analysis, Advanced Statistics

Path analysis is a device for evaluating the interrelationships among the variables by analyzing their correlational structure. The relationships between the variables are many times illustrated graphically by means of the path diagram, in which single headed arrows specify the direct influence of one variable on the other, and curved double headed arrows specify correlated variables. An instance of such a diagram for a correlated two factor model is shown in the Figure drawn below. Originally introduced for the simple regression models for the observed variables, the technique has now become the basis for more sophisticated procedures like confirmatory factor analysis and structural equation modelling, including both manifest variables. 

903_path analysis.png

Posted Date: 7/31/2012 1:25:45 AM | Location : United States

Related Discussions:- Path analysis, Assignment Help, Ask Question on Path analysis, Get Answer, Expert's Help, Path analysis Discussions

Write discussion on Path analysis
Your posts are moderated
Related Questions
Household interview surveys : The surveys in which the primary sampling units are typically geographic regions such as nations or cities. For each such unit sampled, there are addi

Paired samples are the two samples of the observations with the characteristic feature with each of the observation in one sample have only one matching observation in the other s

Procrustes analysis is a technique of comparing the alternative geometrical representations of a group of multivariate data or of the proximity matrix, for instance, two competing

Principal factor analysis is the method of factor analysis which is basically equivalent to a principal components analysis performed on reduced covariance matrix attained by repl

Orthogonal is a term which occurs in several regions of the statistics with different meanings in each case. Most commonly the encountered in the relation to two variables or t

Window variables are the variables measured during the constrained interval of an observation period which is accepted as the proxies for the information over the whole period. Fo

Multidimensional scaling (MDS)  is a generic term for a class of techniques or methods which attempt to construct a low-dimensional geometrical representation of the proximity matr

how to get the proportional allocation of the give stratified random sampling example

Helmert contrast is the contrast often used in analysis of the variance, in which each level of a factor is tested against average of the remaining levels. So, for instance, if th

Chi-squared distribution : It is the probability distribution, f (x), of the random variable de?ned as the sum of squares of the number (v) of independent standard normal variables