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the standard errors for these two paths were so large (25) that interpretations were problematic Marsh, Dowson, Pietsch, and Walker (2004) reanalyzed these data, using a model comparison approach to this multicollinearity problem They tested an alternative model in which the two paths were constrained to be equal This model provided a better description of the data in terms of model parsimony and goodness of fit, but also substantially reduced the standard errors (from 25 to 03) The results demonstrate potential problems of interpreting SEM results in the presence of multicollinearity and the need to pursue follow-up analyses when such problems are encountered MODEL EVALUATION AND GOODNESS OF FIT An important, unresolved issue in CFA /SEM is how to evaluate a model and how to select among competing models.

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Once parameter estimation is complete, the next phase of the CFA /SEM endeavor involves examining the correspondence between the model and the data Model selection and evaluation are based on a subjective combination of substantive issues, inspection of parameter estimates, goodness of fit, parsimony, interpretability, and a comparison of the performances of competing models.

By December 1990, he had developed and was using HyperText Markup Language (HTML), which he had written to format pages containing hypertext links A browser would decode URIs, while enabling the user to read, write, or edit Web pages in HTML It could browse the Web using HTTP, although it could save documents only into the local computer system, but not over the Internet Berners-Lee then wrote the rst Web server the software that holds Web pages on a portion of a computer and allows others to access them At long last, he could demonstrate what the World Wide Web would look like But it worked on only one platform, and an uncommon one at that the NeXT computer At this point, the HTTP server was also fairly crude A big incentive for putting a document on the Web was to provide universal access to it by any other user.

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Although there are no well established guidelines for what minimal conditions constitute an adequate fit, the general approach is to (a) evaluate whether the solution is well defined by establishing that the model is identified, the iterative estimation procedure converges, parameter estimates are within the range of permissible values, and the size of the standard error of each parameter estimate is reasonable; ( b) examine the parameter estimates in relation to the substantive, a priori model and common sense; and (c) evaluate the 2 and indices of fit for the model and compare these to values obtained from alternative models The evaluation of fit has a long and controversial history (see Marsh, Hau, & Grayson, 2005), and it continues to be a contentious, unresolved issue Ultimately, researchers must also rely on nonstatistical criteria to resolve the inevitable compromise between model parsimony and goodness of fit.

But who would bother to install a client if there wasn t exciting information already on the Web Getting out of this chickenand-egg situation was the problem And Berners-Lee wanted to be able to say that if something was on the Web, then anyone could have access to it not just anyone with a NeXT computer Thus it was clear that a global system would need interoperable software and protocols of the type he was developing..

Tests of Statistical Significance Goodness of fit is evaluated in part with an overall 2 test; the posited model is rejected if the 2 is large relative to df, and accepted if the 2 is small or nonsignificant However, this classical form of statistical hypothesis testing is generally inappropriate for evaluating CFA /SEM models The failure to obtain a nonsignificant 2 may.

Note: The score for each feature may be calculated as the sum or average of scores arrived at from its subfeatures.