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Cognitive Linguistics (CL) has an edge over other modern linguistic theories in that it takes performance (or usage) seriously, i.e. it recognizes the importance of data in the context of a theoretical framework. CL has made use of (non-constructed) data and statistical analyses since the very beginning. The volume illustrates elegantly the historical development and value of the different quantitative methods in use in the CL framework and explains their numerous implications for modern linguistics in general.
Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field. The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. The advantages and limitations of each method are detailed and each method is illustrated with exemplary articles presenting linguistic data.
Designed to serve as a textbook for courses in statistical analysis in linguistics, this book orients the reader to various quantitative methods and explains their implications for the field. The methods include chi-square, Fisher test, binomial test, ANOVA, correlation, regression, and cluster analysis. The advantages and limitations of each method are detailed and each method is illustrated with exemplary articles presenting linguistic data.