Hi Mohammad,

it is difficult to understand what exactly you mean when you say "I have the SEM values". I guess you mean the parameter estimates. In a nutshell, an SEM analysis has to report

1) the exact and precise specification of the model in form of a graph / path diagram as well as in the text explaining what was done. When reading articles, I regularly calculate the degrees of freedoms (df)based on a presented path diagram (which is extremely simple) and often they do not match with the df reported about the model.

2) The fit of the model - most notably the chi-square test, df, and the model p value

3) Information, if and how the model was re-specified after an initial misfit. Exploration and adaptation is a good thing and a fundamental part of science but it should be transparent

4) Parameter estimates, their standard errors, and if you like, standardized versions of these estimates. I tend to print the standardized values in the path diagram, well knowing that there is a huge literature that criticizes these

5) Information which estimator was used and how missing values were handeled.

6) In case, you have a full SEM with latent variables, a factor loadings matrix

For more info, see the following references:

Boomsma, A. (2000). TEACHER ’ S CORNER Reporting Analyses of Covariance Structures. Psychology, 7(3), 461-483. doi:10.1207/S15328007SEM0703_6

Boomsma, A. (2000). Reporting analyses of covariance structures. Structural Equation Modeling, 7(3), 461-483.

McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 1(64-82).

Hope that helps

Best,

Holger

I would also say the same and recommend the readings provided by Holger Steinmetz

you may also look at

http://steinhardtapps.es.its.nyu.edu/create/courses/3311/reading/7-Reporting_SEM_and_CFA__Schreiber__Stage__King__Nora__Barlow_.pdf