fit index

a quantitative measure of how well a statistical model corresponds to the variation and covariation in a set of data. An index value greater than .90 (or preferably .95) indicates a model that explains the pattern of relationships in the data reasonably well. If the fit of a model is poor, then the model needs to be respecified and then reanalyzed. See goodness of fit.

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Psychology term of the day

November 24th 2024

regression sum of squares

(symbol: SS_regression) a number indicating the amount of variance in a dependent variable that can be explained by the variance in one or more associated independent variables. It thus describes how well a particular model fits the observed data. For example, in linear regression it is used to calculate a coefficient of determination or a coefficient of multiple determination, and in analysis of variance it is used to determine the total sum of squares and calculate an F ratio. Compare error sum of squares.