HI,
I'm a doctoral student trying to analyze my data for dissertation. I have a theory-based model to test whether students' expectation, math self-efficacy and english self-efficacy will impact their educational attainment (nominal, with four categories: high school graduates, GED recipients, Certificate of Attendance recipients, and No Credentials).
As suggested by my advisor, i have dummy coded the "Edu Attainment" variable into three dummy code variables: HS Grad vs. GED, HS Grad vs. CertAtt, HS Grad vs. NoCred. But the problem is after I entered my syntax to LISREL 9.1, it always gives me an error message "At least two variable names are identical." IF any one could help me figure this out and let me know how to fix my syntax, that will be greatly appreciated!!!
QI
oh, Here i attached the output after i run my syntax:
The following lines were read from file Z:\Documents\GWU\Dissertation\Manuscript\Data\Model1\SYNTAX1NEW.spl:
Model1Data Path Analysis Estimated by FIML
Raw data from file Model1DataNew214.lsf
--------------------------------
EM Algorithm for missing Data:
--------------------------------
Note: There are 5 cases with missing values on all of the selected variables.
These cases are excluded from the analysis.
Number of different missing-value patterns= 38
Effective sample size: 542
Convergence of EM-algorithm in 14 iterations
-2 Ln(L) = 5037.46521
Percentage missing values= 24.72
Note:
The Covariances and/or Means to be analyzed are estimated
by the EM procedure and are only used to obtain starting
values for the FIML procedure
Observed Variables BYMATHSE BYENGLSE F1MATHSE GED CERT NOCRED ZBYSTEXP ZF1STEXP
Relationships
ZF1STEXP= ZBYSTEXP
F1MATHSE= BYMATHSE
GED= ZF1STEXP F1MATHSE BYENGLSE
CERT= ZF1STEXP F1MATHSE BYENGLSE
NOCRED= ZF1STEXP F1MATHSE BYENGLSE
Method: Weighted least squares
Number of Decimals=3
Iterations=200
Options: SC RS AD=OFF
Path Diagram
End of Problem
W_A_R_N_I_N_G: The variable name ZF1STEXP occurs at least twice
F_A_T_A_L E_R_R_O_R: At least two variable names are identical.
I'm a doctoral student trying to analyze my data for dissertation. I have a theory-based model to test whether students' expectation, math self-efficacy and english self-efficacy will impact their educational attainment (nominal, with four categories: high school graduates, GED recipients, Certificate of Attendance recipients, and No Credentials).
As suggested by my advisor, i have dummy coded the "Edu Attainment" variable into three dummy code variables: HS Grad vs. GED, HS Grad vs. CertAtt, HS Grad vs. NoCred. But the problem is after I entered my syntax to LISREL 9.1, it always gives me an error message "At least two variable names are identical." IF any one could help me figure this out and let me know how to fix my syntax, that will be greatly appreciated!!!
QI
oh, Here i attached the output after i run my syntax:
The following lines were read from file Z:\Documents\GWU\Dissertation\Manuscript\Data\Model1\SYNTAX1NEW.spl:
Model1Data Path Analysis Estimated by FIML
Raw data from file Model1DataNew214.lsf
--------------------------------
EM Algorithm for missing Data:
--------------------------------
Note: There are 5 cases with missing values on all of the selected variables.
These cases are excluded from the analysis.
Number of different missing-value patterns= 38
Effective sample size: 542
Convergence of EM-algorithm in 14 iterations
-2 Ln(L) = 5037.46521
Percentage missing values= 24.72
Note:
The Covariances and/or Means to be analyzed are estimated
by the EM procedure and are only used to obtain starting
values for the FIML procedure
Observed Variables BYMATHSE BYENGLSE F1MATHSE GED CERT NOCRED ZBYSTEXP ZF1STEXP
Relationships
ZF1STEXP= ZBYSTEXP
F1MATHSE= BYMATHSE
GED= ZF1STEXP F1MATHSE BYENGLSE
CERT= ZF1STEXP F1MATHSE BYENGLSE
NOCRED= ZF1STEXP F1MATHSE BYENGLSE
Method: Weighted least squares
Number of Decimals=3
Iterations=200
Options: SC RS AD=OFF
Path Diagram
End of Problem
W_A_R_N_I_N_G: The variable name ZF1STEXP occurs at least twice
F_A_T_A_L E_R_R_O_R: At least two variable names are identical.
