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Spanish term or phrase: ajuste incremental, indice de ajuste normado  I have one more question regarding the statistics project:
En cuanto a las medidas de ajuste incremental, el indice de ajuste normado asciende a 0,85. La comparacion entre ambos modelos muestra una mejora significativa en el ajuste del modelo con seis indicadores respecto del de ocho. 
 ScottKudoZ activityQuestions: 14 (none open) Answers: 1

 English translation:sentence translated below  Explanation: En cuanto a las medidas de ajuste incremental, el indice de ajuste normado asciende a 0,85. La comparacion entre ambos modelos muestra una mejora significativa en el ajuste del modelo con seis indicadores respecto del de ocho.
In regard to the measurement of the incremental adjustment, the normed fit index rises to 0.85. A comparison between both models shows a significant improvement in the fit of the sixindicator model as opposed to the eightindicator model
 Note added at 20020709 02:26:53 (GMT) 
Use single indicator variables for each of sex, jobless, bad.area, unmarried, and six indicator variables for purchase. Assume that the continuous variables enter the model in a linear fashion. Using a goodness of fit test, indicate how well the model fits the data.
FROM:http://216.239.37.100/search?q=cache:rbFFM7TsKQAC:www.studen...
Bentler Bonett Index or Normed Fit Index (NFI)
Define the null model as a model in which all of the correlations are zero. The MO record for this model would be:
MO NY=nvar NE=nvar LY=ID PS=DI,FR TE=ZE
where \"nvar\" is the number of measured variables in the model, so put a number for \"nvar.\"
c2(Null Model)  c2(Proposed Model)

c2(Null Model)
A value between .90 and .95 is acceptable, and above .95 is good. A disadvantage of this measure is that it cannot be smaller if more parameters are added to the model. Thus, the more parameters added to the model, the larger the index.
Tucker Lewis Index or Nonnormed Fit Index (NNFI)
A problem with the BentlerBonett index is that there is no penalty for adding parameters. The TuckerLewis index does have such a penalty. Let c2/df be the ratio of chi square to its degrees of freedom
FROM:http://216.239.37.100/search?q=cache:wJg_5dyUNosC:users.rcn....
 Note added at 20020709 02:27:07 (GMT) 
Use single indicator variables for each of sex, jobless, bad.area, unmarried, and six indicator variables for purchase. Assume that the continuous variables enter the model in a linear fashion. Using a goodness of fit test, indicate how well the model fits the data.
FROM:http://216.239.37.100/search?q=cache:rbFFM7TsKQAC:www.studen...
Bentler Bonett Index or Normed Fit Index (NFI)
Define the null model as a model in which all of the correlations are zero. The MO record for this model would be:
MO NY=nvar NE=nvar LY=ID PS=DI,FR TE=ZE
where \"nvar\" is the number of measured variables in the model, so put a number for \"nvar.\"
c2(Null Model)  c2(Proposed Model)

c2(Null Model)
A value between .90 and .95 is acceptable, and above .95 is good. A disadvantage of this measure is that it cannot be smaller if more parameters are added to the model. Thus, the more parameters added to the model, the larger the index.
Tucker Lewis Index or Nonnormed Fit Index (NNFI)
A problem with the BentlerBonett index is that there is no penalty for adding parameters. The TuckerLewis index does have such a penalty. Let c2/df be the ratio of chi square to its degrees of freedom
FROM:http://216.239.37.100/search?q=cache:wJg_5dyUNosC:users.rcn....
 Note added at 20020709 02:27:17 (GMT) 
Use single indicator variables for each of sex, jobless, bad.area, unmarried, and six indicator variables for purchase. Assume that the continuous variables enter the model in a linear fashion. Using a goodness of fit test, indicate how well the model fits the data.
FROM:http://216.239.37.100/search?q=cache:rbFFM7TsKQAC:www.studen...
Bentler Bonett Index or Normed Fit Index (NFI)
Define the null model as a model in which all of the correlations are zero. The MO record for this model would be:
MO NY=nvar NE=nvar LY=ID PS=DI,FR TE=ZE
where \"nvar\" is the number of measured variables in the model, so put a number for \"nvar.\"
c2(Null Model)  c2(Proposed Model)

c2(Null Model)
A value between .90 and .95 is acceptable, and above .95 is good. A disadvantage of this measure is that it cannot be smaller if more parameters are added to the model. Thus, the more parameters added to the model, the larger the index.
Tucker Lewis Index or Nonnormed Fit Index (NNFI)
A problem with the BentlerBonett index is that there is no penalty for adding parameters. The TuckerLewis index does have such a penalty. Let c2/df be the ratio of chi square to its degrees of freedom
FROM:http://216.239.37.100/search?q=cache:wJg_5dyUNosC:users.rcn....

 Selected response from: xxxLia Fail Spain Local time: 20:45
 Grading comment 4 KudoZ points were awarded for this answer 
 
Discussion entries: 0 

Automatic update in 00:

11 mins confidence: peer agreement (net): +1 sentence translated below
Explanation: En cuanto a las medidas de ajuste incremental, el indice de ajuste normado asciende a 0,85. La comparacion entre ambos modelos muestra una mejora significativa en el ajuste del modelo con seis indicadores respecto del de ocho.
In regard to the measurement of the incremental adjustment, the normed fit index rises to 0.85. A comparison between both models shows a significant improvement in the fit of the sixindicator model as opposed to the eightindicator model
 Note added at 20020709 02:26:53 (GMT) 
Use single indicator variables for each of sex, jobless, bad.area, unmarried, and six indicator variables for purchase. Assume that the continuous variables enter the model in a linear fashion. Using a goodness of fit test, indicate how well the model fits the data.
FROM:http://216.239.37.100/search?q=cache:rbFFM7TsKQAC:www.studen...
Bentler Bonett Index or Normed Fit Index (NFI)
Define the null model as a model in which all of the correlations are zero. The MO record for this model would be:
MO NY=nvar NE=nvar LY=ID PS=DI,FR TE=ZE
where \"nvar\" is the number of measured variables in the model, so put a number for \"nvar.\"
c2(Null Model)  c2(Proposed Model)

c2(Null Model)
A value between .90 and .95 is acceptable, and above .95 is good. A disadvantage of this measure is that it cannot be smaller if more parameters are added to the model. Thus, the more parameters added to the model, the larger the index.
Tucker Lewis Index or Nonnormed Fit Index (NNFI)
A problem with the BentlerBonett index is that there is no penalty for adding parameters. The TuckerLewis index does have such a penalty. Let c2/df be the ratio of chi square to its degrees of freedom
FROM:http://216.239.37.100/search?q=cache:wJg_5dyUNosC:users.rcn....
 Note added at 20020709 02:27:07 (GMT) 
Use single indicator variables for each of sex, jobless, bad.area, unmarried, and six indicator variables for purchase. Assume that the continuous variables enter the model in a linear fashion. Using a goodness of fit test, indicate how well the model fits the data.
FROM:http://216.239.37.100/search?q=cache:rbFFM7TsKQAC:www.studen...
Bentler Bonett Index or Normed Fit Index (NFI)
Define the null model as a model in which all of the correlations are zero. The MO record for this model would be:
MO NY=nvar NE=nvar LY=ID PS=DI,FR TE=ZE
where \"nvar\" is the number of measured variables in the model, so put a number for \"nvar.\"
c2(Null Model)  c2(Proposed Model)

c2(Null Model)
A value between .90 and .95 is acceptable, and above .95 is good. A disadvantage of this measure is that it cannot be smaller if more parameters are added to the model. Thus, the more parameters added to the model, the larger the index.
Tucker Lewis Index or Nonnormed Fit Index (NNFI)
A problem with the BentlerBonett index is that there is no penalty for adding parameters. The TuckerLewis index does have such a penalty. Let c2/df be the ratio of chi square to its degrees of freedom
FROM:http://216.239.37.100/search?q=cache:wJg_5dyUNosC:users.rcn....
 Note added at 20020709 02:27:17 (GMT) 
Use single indicator variables for each of sex, jobless, bad.area, unmarried, and six indicator variables for purchase. Assume that the continuous variables enter the model in a linear fashion. Using a goodness of fit test, indicate how well the model fits the data.
FROM:http://216.239.37.100/search?q=cache:rbFFM7TsKQAC:www.studen...
Bentler Bonett Index or Normed Fit Index (NFI)
Define the null model as a model in which all of the correlations are zero. The MO record for this model would be:
MO NY=nvar NE=nvar LY=ID PS=DI,FR TE=ZE
where \"nvar\" is the number of measured variables in the model, so put a number for \"nvar.\"
c2(Null Model)  c2(Proposed Model)

c2(Null Model)
A value between .90 and .95 is acceptable, and above .95 is good. A disadvantage of this measure is that it cannot be smaller if more parameters are added to the model. Thus, the more parameters added to the model, the larger the index.
Tucker Lewis Index or Nonnormed Fit Index (NNFI)
A problem with the BentlerBonett index is that there is no penalty for adding parameters. The TuckerLewis index does have such a penalty. Let c2/df be the ratio of chi square to its degrees of freedom
FROM:http://216.239.37.100/search?q=cache:wJg_5dyUNosC:users.rcn....
Reference: http://216.239.37.100/search?q=cache:huPfPANxa48C:www.ssicen... Reference: http://216.239.37.100/search?q=cache:5Dya8ocE87AC:www.uic.ed...
 xxxLia Fail Spain Local time: 20:45 Native speaker of: English PRO pts in pair: 1368

 
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