Structural Equation Modeling (SEM) Endogenous variable

ENDOGENOUS VARIABLE

a : caused by factors inside the organism or system

b : produced or synthesized within the organism or system


this one was based on research taken from 
http://www.tcrecord.org/Content.asp?ContentId=16924

DATA ANALYSIS

The proposed conceptual model was tested by using structural equation modeling (SEM) analysis. Taking into consideration measurement errors that are often inherent in survey data, SEM defines latent, multidimensional constructs (e.g., parents’ expectations, students’ motivational beliefs) and observed variables (e.g., baccalaureate expectations) while testing the theoretical links and their directions among the key variables in the study. Rooted in psychology, psychometrics, and econometrics, SEM is an appropriate approach to testing whether an a prioristructural model fits the observed data grounded in relevant literature and theory (Kaplan, 2000). By and large a confirmatory (i.e., hypothesis testing) technique, SEM consists of two parts: (1) a measurement model based on a confirmatory factor analysis that connects latent variables to observed indicator variables; and (2) a structural model that uses path analysis that accounts for relationships among endogenous, exogenous, and latent variables according to the a priori theoretical framework (Kaplan, 2000; Schreiber Stage, King, Nora, & Barlow, 2006). Figure 2 describes the SEM diagram based on the theoretical model in Figure 1.