Interpreting Results of Hypotheses in Structural Equation Modelling

This video explains how you can interpret your hypotheses result in Structural Equation Modelling (SEM). The full video can be found here • Structural Equation Mo...

[@jonathanmubiru1473]

Good evening Dr. okolie; I seek your advise. I am doing my masters in projects. I have two independent variables and one dependent variable. However, the results for my regression (model summary) are high (R=.991, R Square=982, Adjusted R Square=.982, Std.Error of the Estimate=.18004). I have been cautioned by my supervisor that these figures should not be high because they are showing a high effect of the independent variable to the dependent variable. In my understanding, the accurate determination of effect under regression analysis for two or more independent variables can be determined under the coefficients (Standard Coefficients Beta) which are actually low (0.435 and .563). I am not sure whether this is all making sense, but kindly advise on the implication of having high scores under correlation and high regression, do they make my analysis wrong?

[@Dr.Okolie]

I suggest that you may try adding two or more control variables to the analysis to help reduce the high R-Square values. But the results of regression Bet weights seem appropriate. Including the control variables may help.