ajuste incremental, indice de ajuste normado
English translation: sentence translated below
| 02:12 Jul 9, 2002 |
| Spanish to English translations [PRO] / Statistics, Mathematics | |||||
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|  Selected response from: Lia Fail (X) Spain Local time: 21:45 | ||||
Grading comment
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| Summary of answers provided | ||||
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| 4 +1 | sentence translated below |
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| 4 +1 | incremental adjustment, normalized adjustment index |
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| 5 | incremental adjustment, standardized adjustment index |
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Answers
11 mins confidence: 
peer agreement (net): +1
peer agreement (net): +1sentence 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 six-indicator model as opposed to the eight-indicator model -------------------------------------------------- Note added at 2002-07-09 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 Non-normed Fit Index (NNFI) A problem with the Bentler-Bonett index is that there is no penalty for adding parameters. The Tucker-Lewis 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 2002-07-09 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 Non-normed Fit Index (NNFI) A problem with the Bentler-Bonett index is that there is no penalty for adding parameters. The Tucker-Lewis 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 2002-07-09 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 Non-normed Fit Index (NNFI) A problem with the Bentler-Bonett index is that there is no penalty for adding parameters. The Tucker-Lewis 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... |
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1 hr confidence: peer agreement (net): +1
peer agreement (net): +1incremental adjustment, normalized adjustment index Explanation: Do you want the term transalted or the entire sentence????? |
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10 hrs confidence:
incremental adjustment, standardized adjustment index Explanation: normado=standardizesd :) |
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