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tabi 30 18 \ 18 14 tabi 30 18 38 \ 13 7 22 tabi 30 18 38 \ 13 7 22, chi2 exact
Structural equation model Number of obs = 2,521 Estimation method = ml Log likelihood = -8578.3219 ( 1) [cog0]Intercept = 1 ( 2) [cog1]Intercept = 1 ( 3) [cog1]Slope = 1 ( 4) [cog2]Intercept = 1 ( 5) [cog2]Slope = 2 ( 6) [var(e.cog0)]_cons - [var(e.cog2)]_cons = 0 ( 7) [var(e.cog1)]_cons - [var(e.cog2)]_cons = 0 ( 8) [cog0]_cons = 0 ( 9) [cog1]_cons = 0 (10) [cog2]_cons = 0 ----------------------------------------------------------------------------------------- | OIM | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------------------------+---------------------------------------------------------------- Structural | Intercept <- | sex | -.1419539 .0292636 -4.85 0.000 -.1993094 -.0845983 _cons | .3087704 .023284 13.26 0.000 .2631346 .3544062 ----------------------+---------------------------------------------------------------- Slope <- | sex | -.0053852 .0134301 -0.40 0.688 -.0317078 .0209373 _cons | -.1226473 .0106859 -11.48 0.000 -.1435912 -.1017034 ------------------------+---------------------------------------------------------------- Measurement | cog0 <- | Intercept | 1 (constrained) _cons | 0 (constrained) ----------------------+---------------------------------------------------------------- cog1 <- | Intercept | 1 (constrained) Slope | 1 (constrained) _cons | 0 (constrained) ----------------------+---------------------------------------------------------------- cog2 <- | Intercept | 1 (constrained) Slope | 2 (constrained) _cons | 0 (constrained) ------------------------+---------------------------------------------------------------- var(e.cog0)| .1600242 .0045073 .1514295 .1691066 var(e.cog1)| .1600242 .0045073 .1514295 .1691066 var(e.cog2)| .1600242 .0045073 .1514295 .1691066 var(e.Intercept)| .3681304 .0146158 .3405703 .3979209 var(e.Slope)| .0256114 .0037322 .0192482 .034078 ------------------------+---------------------------------------------------------------- cov(e.Intercept,e.Slope)| .0065308 .0053133 1.23 0.219 -.0038831 .0169448 ----------------------------------------------------------------------------------------- LR test of model vs. saturated: chi2(4) = 45.83, Prob > chi2 = 0.0000
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