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From |
W Robert Long <W.R.Long@leeds.ac.uk> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
st: Hierarchical CFA problem |

Date |
Mon, 22 Apr 2013 10:31:44 +0100 |

Hi all

clear all ssd init x1 x2 x3 x4 x5 x6 x7 x8 x9 ssd set correlations /// 1.0000 \ /// 0.2973 1.0000 \ /// 0.4407 0.3398 1.0000 \ /// 0.3727 0.1529 0.1586 1.0000 \ /// 0.2934 0.1394 0.0772 0.7332 1.0000 \ /// 0.3568 0.1925 0.1977 0.7045 0.7200 1.0000 \ /// 0.0669 -0.0757 0.0719 0.1738 0.1020 0.1211 1.0000 \ /// 0.2239 0.0923 0.1860 0.1069 0.1387 0.1496 0.4868 1.0000 \ /// 0.3903 0.2060 0.3287 0.2078 0.2275 0.2142 0.3406 0.4490 1.0000 ssd set observations 301 The model is very straight forward: sem (L1 -> x1 x2 x3) /// (L2 -> x4 x5 x6) /// (L3 -> x7 x8 x9) /// (G -> L1@1 L2 L3)

Estimate Std.err Z-value P(>|z|) Latent variables: L1 =~ x1 1.000 x2 0.554 0.100 5.554 0.000 x3 0.729 0.109 6.685 0.000 L2 =~ x4 1.000 x5 1.113 0.065 17.014 0.000 x6 0.926 0.055 16.703 0.000 L3 =~ x7 1.000 x8 1.180 0.165 7.152 0.000 x9 1.082 0.151 7.155 0.000 G =~ L1 1.000 L2 0.662 0.173 3.826 0.000 L3 0.425 0.118 3.602 0.000 Variances: x1 0.549 0.114 x2 1.134 0.102 x3 0.844 0.091 x4 0.371 0.048 x5 0.446 0.058 x6 0.356 0.043 x7 0.799 0.081 x8 0.488 0.074 x9 0.566 0.071 L1 0.192 0.170 L2 0.709 0.107 L3 0.272 0.069 G 0.617 0.183 I would be grateful for any help or advice. Thanks Robert Long * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Hierarchical CFA problem***From:*"JVerkuilen (Gmail)" <jvverkuilen@gmail.com>

**Re: st: Hierarchical CFA problem***From:*John Antonakis <John.Antonakis@unil.ch>

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