PSYC 2030 Lecture Notes - Lecture 13: Confidence Interval, Mull, Type I And Type Ii Errors
10 Dec 2015
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Document Summary
Besides describing data and measuring relationships, many behavioural researchers are usually interested in making comparisons using statistical tests such as t, f and chi square. Misconceptions and illusions about the implications of certain effect size indicators can result in people drawing unwarranted conclusions. Three families of effect sizes include (a) the correlation (r-type) family, (b) the difference family and (c) the ratio family: advantage of r-type effect size indicators useful when predictions specifically involve more than. 2 groups or more than 2 conditions: difference type and ratio type effect size indicators are not so naturally applicable. General relationship between the p value and the effect size; conceptual equation: (significance test = size of effect x size of study) This general relationship means that any test of statistical significance can be shown to consist of 2 components (a) an indicator of the effect and (b) an indicator of the number of sampling units (total n)
