EAN: 9783110205657

Bilder-Quelle: discount24.de - Sport-Freizeit

This book is an introduction to statistics for linguists using the open source software R. It is aimed at students and instructors professors with little or no statistical background and is written in a non-technical and reader-friendly accessible style. It first introduces in detail the overall logic underlying quantitative studies: exploration hypothesis formulation and operationalization and the notion and meaning of significance tests. It then introduces some basics of the software R relevant to statistical data analysis. A chapter on descriptive statistics explains how summary statistics for frequencies averages and correlations are generated with R and how they are graphically represented best. A chapter on analytical statistics explains how statistical tests are performed in R on the basis of many different linguistic case studies: For nearly every single example it is explained what the structure of the test looks like how hypotheses are formulated explored and tested for statistical significance how the results are graphically represented and how one would summarize them in a paper article. A chapter on selected multifactorial methods introduces how more complex research designs can be studied: methods for the study of multifactorial frequency data correlations tests for means and binary response data are discussed and exemplified step-by-step. Also the exploratory approach of hierarchical cluster analysis is illustrated in detail. The book comes with many exercises boxes with short think breaks and warnings recommendations for further study and answer keys as well as a statistics for linguists newsgroup on the companion website. The volume is aimed at beginners on every level of linguistic education: undergraduate students graduate students and instructors professors and can be used in any research methods and statistics class for linguists. It presupposes no quantitative statistical knowledge whatsoever and unlike most competing books begins at step 1 for every method and explains everything explicitly.

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30.03.2025 um 04:50 Uhr

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