I am doing factor analysis. I developed a problem when deriving patterns. I could not get the KMO, I, therefore, transformed my data and managed to derive 6 fatty acid patterns and got a KMO of 7.8. I have named them as follows. PPPL1Satfat_2005 PPPL2N3VLCAA_2005 PPPL3n62dbond_2005 PPPL4DGLAadreDPA_2005 PPPL5MUFA_2005 PPPL6ALA_2005 However, I could not the Bartlett test for sphericity This is the results I am getting. All observations in data set WORK.ALICEPAPER1MAY2018 have missing values, or the sum of
weights or frequencies is nonpositive. Well, I went ahead and did some analysis. In linear regression, I got my results, i.e association with weight, BMI and Waist circumference and etc. (this was cross-sectional). Now I am doing longitudinal analysis with the same patterns and running a logistic regression I am getting this statement "SAS Output Note: The following parameters have been set to 0, since the variables are a linear combination of other variables as shown. SAS Output The SAS System Maximum Likelihood Factor Analysis with One Factor The LOGISTIC Procedure Model InformationData SetResponse VariableNumber of Response LevelsModelOptimization Technique WORK.PAPER2MAY2008 WHtRatioCHANGE_Indicator WHtRatioCHANGE_Indicator 2 binary logit Fisher's scoring Number of Observations ReadNumber of Observations Used 412 412 Response ProfileOrderedValue WHtRatioCHANGE_Indicator TotalFrequency12 0 66 1 346 Probability modeled is WHtRatioCHANGE_Indicator='1'. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Note: The following parameters have been set to 0, since the variables are a linear combination of other variables as shown. PPPL1Satfat_2005 =PPPL2N3VLCAA_2005 =PPPL3n62dbond_2005 =PPPL4DGLAadreDPA_2005 =PPPL5MUFA_2005 =PPPL6ALA_2005 = 0.01614 * Intercept 1.05307 * Intercept -0.45272 * Intercept 0.58611 * Intercept -0.25506 * Intercept -0.19288 * Intercept Analysis of Maximum Likelihood EstimatesParameter DF Estimate StandardError WaldChi-Square Pr > ChiSqInterceptPPPL1Satfat_2005PPPL2N3VLCAA_2005PPPL3n62dbond_2005PPPL4DGLAadreDPA_200PPPL5MUFA_2005PPPL6ALA_2005 1 1.6568 0.1343 152.1439 <.0001 0 0 . . . 0 0 . . . 0 0 . . . 0 0 . . . 0 0 . . . 0 0 . . . These are the codes *model 1; proc logistic data=PAPER2MAY2008;*plasma FA; model WHtRatioCHANGE_Indicator (event='1')= PPPL1Satfat_2005 PPPL2N3VLCAA_2005 PPPL3n62dbond_2005 PPPL4DGLAadreDPA_2005 PPPL5MUFA_2005 PPPL6ALA_2005 / rsq lackfit ;/*put the model in this form -> response = predictors*/ run;quit;
*model 2; proc logistic data=PAPER2MAY2008;*plasma FA; class Gender_Code_2005;*put categorical variables here*/; model WHtRatioCHANGE_Indicator(event='1')= PPPL1Satfat_2005 PPPL2N3VLCAA_2005 PPPL3n62dbond_2005 PPPL4DGLAadreDPA_2005 PPPL5MUFA_2005 PPPL6ALA_2005 Age2005 Gender_Code_2005 / rsq lackfit;/*put the model in this form -> response = predictors*/ run;quit; Please help, Bartlett test for sphericity and these results are related? Worried PhD student. Kind regards
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