Question

From structural equation to coorrelation matrix by multiplying with exogeneous vaiable and taking expectation

Answer 1

Answer:

Step-by-step explanation:

1. Introduction

I Structural-equation models (SEMs) are multiple-equation regression

models in which the response variable in one regression equation can

appear as an explanatory variable in another equation.

• Two variables in a SEM can even effect one-another reciprocally, either

directly, or indirectly through a “feedback” loop.

I Structural-equation models can include variables that are not measured

directly, but rather indirectly through their effects (called indicators) or,

sometimes, through their observable causes.

• Unmeasured variables are variously termed latent variables, constructs,

or factors.

I Modern structural-equation methods represent a confluence of work in

many disciplines, including biostatistics, econometrics, psychometrics,

and social statistics. The general synthesis of these various traditions

dates to the late 1960s and early 1970s.