Univariate Data Analysis
Let us return to our students from the previous chapter. After completing their survey of bread spreads, they have now coded the data from the 850 respondents and entered them into a computer. In the first step of data assessment, they investigate each variable—for example, average respondent age—separately. This is called univariate analysis (see Fig. 3.1). By contrast, when researchers analyse the relationship between two variables—for example, between gender and choice of spread—this is called bivariate analysis (see Chap. 4). With relationships between more than two variables, one speaks of multivariate analysis (see Sect. 9.5 and Chaps. 10, 12, and 13).
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