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Here and elsewhere in the paper, 'p' represents a probability value referring to the likelihood of incorrectly judging an effect as significant where none actually exists. For the current test, p < 0.001 means that the probability of observing a difference in means this great by chance is assumed to be less than 0.1%. Effects are typically considered to be 'statistically significant' when p ≤ 0.05.
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11
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77649230198
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Note
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p(or partial eta-square) provides a global index of the size of the observed difference in means. Small and medium effects are represented by values around 0.01 and 0.06, respectively. Large effects are represented by values around 0.14 or greater.
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12
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77649218816
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Note
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Unlike simultaneous multiple regression in which a set of predictor variables is simultaneously used to predict an outcome variable, hierarchical multiple regression allows for the study of the incremental contributions (i.e. explanatory power) of predictor variables from one step to the next.
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