Statistics for Linguistics with R
Kurzinformation
inkl. MwSt. Versandinformationen
Artikel zZt. nicht lieferbar
Artikel zZt. nicht lieferbar

Beschreibung
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.
Produktdetails
So garantieren wir Dir zu jeder Zeit Premiumqualität.
- Hardcover
- 424 Seiten
- Erschienen 2013
- Wiley-VCH
- Kartoniert
- 434 Seiten
- Erschienen 2017
- Wiley-VCH
- Kartoniert
- 207 Seiten
- Erschienen 2009
- Springer
- Gebunden
- 830 Seiten
- Erschienen 2017
- Pearson Studium
- paperback
- 340 Seiten
- Erschienen 2015
- Routledge
- Gebunden
- 315 Seiten
- Erschienen 2015
- De Gruyter
- Gebunden
- 720 Seiten
- Erschienen 1999
- The MIT Press
- Kartoniert
- 391 Seiten
- Erschienen 2022
- Springer VS
- Gebunden
- 456 Seiten
- Erschienen 2017
- Springer
- Kartoniert
- 352 Seiten
- Erschienen 2021
- Pearson Studium
- paperback
- 352 Seiten
- Erschienen 2011
- Cengage Learning, Inc
- paperback
- 250 Seiten
- Erschienen 2004
- Springer
- Kartoniert
- 356 Seiten
- Erschienen 2021
- O'Reilly




