1 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;5556 /**************************** Circle.sas ****************************/57 title 'Try to fit a non-identified model';58 title2 'Jerry Brunner: Student Number 999999999';5960 data Bizarre;61 infile '/folders/myfolders/431s17/Circle.data.txt' firstobs=2 ; /* Skipping the header */62 input id Y1-Y4;6364NOTE: The infile '/folders/myfolders/431s17/Circle.data.txt' is:Filename=/folders/myfolders/431s17/Circle.data.txt,Owner Name=root,Group Name=vboxsf,Access Permission=-rwxrwx---,Last Modified=30Jan2015:16:40:51,File Size (bytes)=15311NOTE: 250 records were read from the infile '/folders/myfolders/431s17/Circle.data.txt'.The minimum record length was 59.The maximum record length was 59.NOTE: The data set WORK.BIZARRE has 250 observations and 5 variables.NOTE: DATA statement used (Total process time):real time 0.05 secondscpu time 0.01 seconds65 proc calis pshort nostand vardef=n pcorr;66 title3 'True beta1 = 0.7071068, beta2 = -0.7071068, psi1 = psi2 = 1';67 title4 'With psi1 neq psi2, fails parameter count rule';68 var Y1 Y2; /* Declare observed variables */69 lineqs70 /* Latent variables must begin with F for Factor.71 Error terms must begin with e or d (for disturbance) */72 Y1 = beta1*F1 + beta2*F2 + epsilon1,73 Y2 = beta1*F1 + beta2*F2 + epsilon2;74 variance /* Declare variance parameters. */75 epsilon1 = psi1, epsilon2 = psi2,76 F1 = 1, F2 = 1;77 cov78 F1 F2 = 0;79 /* Other unmentioned covariances are assumed zero. */80 /* If no means or intercepts are given, model is assumed to81 be in centered form. Unmentioned means and intercepts are82 re-parameterized and disappear from the likelihood. */83WARNING: The estimation problem is not identified: There are more parameters to estimate ( 4 ) than the total number of mean andcovariance elements ( 3 ).NOTE: Convergence criterion (GCONV2=0) satisfied.NOTE: The Moore-Penrose inverse is used in computing the covariance matrix for parameter estimates.WARNING: Standard errors and t values might not be accurate with the use of the Moore-Penrose inverse.WARNING: Critical N is not computable for df= -1.NOTE: PROCEDURE CALIS used (Total process time):real time 2.75 secondscpu time 0.41 seconds84 proc calis pshort nostand vardef=n pcorr;85 title3 'True beta1 = 0.7071068, beta2 = -0.7071068, psi1 = psi2 = 1';86 title4 'Passes parameter count rule with psi1=psi1=psi';87 var Y1 Y2; /* Declare observed variables */88 lineqs89 /* Latent variables must begin with F for Factor.90 Error terms must begin with e or d (for disturbance) */91 Y1 = beta1*F1 + beta2*F2 + epsilon1,92 Y2 = beta1*F1 + beta2*F2 + epsilon2;93 variance /* Declare variance parameters. */94 epsilon1 = psi, epsilon2 = psi,95 F1 = 1, F2 = 1;96 cov97 F1 F2 = 0;98NOTE: Convergence criterion (ABSGCONV=0.00001) satisfied.NOTE: The Moore-Penrose inverse is used in computing the covariance matrix for parameter estimates.WARNING: Standard errors and t values might not be accurate with the use of the Moore-Penrose inverse.WARNING: Critical N is not computable for df= 0.NOTE: PROCEDURE CALIS used (Total process time):real time 0.38 secondscpu time 0.35 seconds99 proc calis pshort nostand vardef=n pcorr;100 title3 'True beta1 = 0.7071068, beta2 = -0.7071068, psi1 = psi2 = 1';101 title4 'Psi1 neq psi2 again, start at beta1 = -0.9824205, beta2=0';102 var Y1 Y2; /* Declare observed variables */103 lineqs104 /* Latent variables must begin with F for Factor.105 Error terms must begin with e or d (for disturbance) */106 Y1 = beta1(-0.9824205)*F1 + beta2(0)*F2 + epsilon1,107 Y2 = beta1(-0.9824205)*F1 + beta2(0)*F2 + epsilon2;108 variance /* Declare variance parameters. */109 epsilon1 = psi1(0.75731), epsilon2 = psi2(1.19528),110 F1 = 1, F2 = 1;111 cov112 F1 F2 = 0;113WARNING: The estimation problem is not identified: There are more parameters to estimate ( 4 ) than the total number of mean andcovariance elements ( 3 ).NOTE: Convergence criterion (ABSGCONV=0.00001) satisfied.NOTE: The Moore-Penrose inverse is used in computing the covariance matrix for parameter estimates.WARNING: Standard errors and t values might not be accurate with the use of the Moore-Penrose inverse.NOTE: The standard error estimate of beta2 is zero or very close to zero.WARNING: Critical N is not computable for df= -1.NOTE: PROCEDURE CALIS used (Total process time):real time 0.34 secondscpu time 0.32 seconds114 proc calis pshort nostand vardef=n pcorr;115 title3 'True beta1 = beta2 = 0, psi1 = psi2 = 1';116 title4 'Fails parameter count rule';117 var Y3 Y4; /* Declare observed variables */118 lineqs119 /* Latent variables must begin with F for Factor.120 Error terms must begin with e or d (for disturbance) */121 Y3 = beta1*F1 + beta2*F2 + epsilon1,122 Y4 = beta1*F1 + beta2*F2 + epsilon2;123 variance /* Declare variance parameters. */124 epsilon1 = psi1, epsilon2 = psi2,125 F1 = 1, F2 = 1;126 cov127 F1 F2 = 0;128129130 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;WARNING: The estimation problem is not identified: There are more parameters to estimate ( 4 ) than the total number of mean andcovariance elements ( 3 ).WARNING: Standard errors and t values might not be accurate with the use of the Moore-Penrose inverse.WARNING: Critical N is not computable for df= -1.142