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Chapter 24: Data Transformation
Data transformations are techniques that transform raw data collected to yield data and images more easily understood. Data transformations are a remedy for failures of normality.
It is important to meet the assumption of normality, since statistical inference or exploratory power is weakened when departures occur from normality (Cohen et al., 2003; Hutcheson and Sofroniou, 1999). The most straightforward implication that arises as a consequence of the typical skewed distribution of variable ratings is technical in nature and relates to both the analysis and the interpretation of data. Given a skewed distribution, of any variable, the arithmetical mean is no longer an appropriate measure of central tendency since it excludes considerable information about the variable. Indeed, in this instance, ‘average score’ is a ...