Statistical Sciences 2035 Study Guide - Quiz Guide: Dependent And Independent Variables, Scatter Plot
16 Oct 2018
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Reduces df values by multiplying df values with the values of each correction valid f- tests. If sphericity actually exists, the epsilon corrections won"t change anything: the values of the corrections are not always the same, lower bound: 0. 5. Strictest correction (very conservative) less likely to reject: always a safe choice, but results in unnecessary loss of power, greenhouse-geiser (gg): 0. 902. Best choice always choose this one: huyn-feldt: 0. 943. Sometimes turns out too liberal (i. e. : it still results in too many type 1 errors) Shape of f-distribution depends on df: (f(df(n), df(d))-distribution. Problem: fc is too small too far left, because of too high df if sphericity is assumed which means greater type. Epsilon correction reduces df: increases fc, changes f-distribution. Only relevant if independent variable is quantitative (e. g. angle of rotation) Examine whether there is a linear relationship between independent and dependent variables, or a quadratic relationship . Examines k-1 relationships, where k= number of conditions.
