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Chapter 8. Finding differences between several groups

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Abstract

This chapter introduces ANOVA (analysis of variance), a special case of linear regression with binary or categorical independent variables. This method is widely used in experimental linguistics, when the researcher compares several groups of experimental objects that undergo different treatments. In this chapter you will learn several types of ANOVA: one-way ANOVA with one factor as an independent variable, factorial ANOVA with two or more categorical independent variables, and repeated-measures and mixed ANOVA. The methods are illustrated by three case studies. The first two focus on grammatical features of an emergent sign language. The third case study deals with cross-linguistic differences in time conceptualization, which are interpreted as evidence in favour of the linguistic relativity hypothesis.

References

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