Significance testing is widely used as one way to evaluate subtest score differences. Nevertheless, misinterpretations of statistically significant differences are frequent, due to basic misunderstandings of the underlying model. This article reviews the significance testing model and discusses the interpretations and misinterpretations of statistically significant differences.
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