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    "chi-square test statistic"




    Hello everyone,
    Maybe someone can help me with this. I'm having trouble understanding (intuitively) how/why the "chi-square test statistic" is used to determine goodness of fit. I understant confidence intervals and hypothesis testing and I understand the procedure used in the Chi-Square Goodness of Fit Test. However I can't intuitively understand how this "test statistic" helps in determining "goodness of fit." I like to understand methods as opposed to blindly following them. Maybe someone can explain this or maybe point me to some derivation of the "chi-square test statistic"?

    thanks much
    steve

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    Hi there, what use of the chi square statistic are you referring to in specific? Are you talking abouts its use in confirmatory factor analysis and structural equation modelling?
    Matt aka CB | twitter.com/matthewmatix

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    in the Chi-Square Goodness of Fit Test .........Pearson's chi-square test

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    As I understand it, the statistic indicates the confidence that the researcher can have in rejecting the null hypothesis that the sample data fits a particular theoretical distribution.

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