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From |
"Florian Christian Esser" <florian.esser@tu-dortmund.de> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: CR and AVE for factor analysis with 2 factors |

Date |
Mon, 28 Oct 2013 15:11:44 +0100 |

Hi everyone, I am trying to do factor analysis in order to measure two strategy constructs. I have 6 indicators that load on these two constructs. Now I want to calculate composite reliability (CR) and average variance extracted(AVE). I use the following code (here for CR): ___________________________________________________________________ factor zwmdiff_1 zwpdiff_1 zwpdiff_2 zwcost_1 zwcost_2 zwcost_3, pcf matrix list e(Psi) matrix list e(L) matrix psi = e(Psi)' matrix communalities = J(rowsof(psi),1,1) matrix communalities = communalities - psi matrix colnames communalities = communalities matrix list communalities gen nvar = e(df_m) gen sum_factors=0 local i=1 while `i' <= nvar { replace sum_factors = sum_factors + sqrt(communalities[`i',1]) local i=`i'+1 } generate sum_psi=0 local i=1 while `i' <= nvar { replace sum_psi = sum_psi + psi[`i',1] local i=`i'+1 } gen cr=(sum_factors*sum_factors)/((sum_factors*sum_factors)+sum_psi) drop nvar drop sum_factors drop sum_psi list cr in 1 _________________________________________________________________ The problem is that once the local macro starts running it tells me: _____________________________ [...] (534 real changes made) (534 real changes made) (534 real changes made, 534 to missing) (0 real changes made) (0 real changes made) (0 real changes made) [...] ___________________________ and accordingly there is an empty result for CR. If I add "factors(1)" in the command line above, I get a result, but I since I have two factors, I think it is not correct to do this. Does anyone know what to do here? Thanks a lot in advance. * * 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: CR and AVE for factor analysis with 2 factors***From:*Nick Cox <njcoxstata@gmail.com>

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