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Chapter 7 - Analysing the Data Part IV - Analysis of Variance Chapter 1 - Behavioural Science and research Chapter 2 - Research Design Chapter 3 - Collecting the Data Chapter 4 - Analysing the Data Part I - Descriptive Statistics Chapter 5 - Analysing the Data Part II - Inferential Statistics Chapter 6 - Analysing the Data Part III - Common Statistical Tests Probability Sampling distributions Steps in hypothesis testing Type I and Type II decision errors Power Bonferroni Confidence Intervals Readings and links


Chapter 5: Analysing the Data
Part II : Inferential Statistics


The practical significance of a finding

A general problem with traditional statistics is that if you take large enough samples, almost any difference or any correlation will be ‘significant’. So, these days, many journal editors are requiring authors to include some indication of the practical significance of a finding. Usually this entails the calculation of some measure like eta symbol2 or r2 which can both be interpreted in terms of the proportion of variability explained. The most common measures here are eta symbol 2 (referred to as "eta-squared" – for t-tests and ANOVA) and r2 (for correlation and regression). These measures are given detailed coverage in the next chapters.




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