Buch, Englisch, 250 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 552 g
Buch, Englisch, 250 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 552 g
ISBN: 978-1-107-56524-1
Verlag: Cambridge University Press
Do you use language corpora in your research or study, but find that you struggle with statistics? This practical introduction will equip you to understand the key principles of statistical thinking and apply these concepts to your own research, without the need for prior statistical knowledge. The book gives step-by-step guidance through the process of statistical analysis and provides multiple examples of how statistical techniques can be used to analyse and visualise linguistic data. It also includes a useful selection of discussion questions and exercises which you can use to check your understanding. The book comes with a Companion website, which provides additional materials (answers to exercises, datasets, advanced materials, teaching slides etc.) and Lancaster Stats Tools online (http://corpora.lancs.ac.uk/stats), a free click-and-analyse statistical tool for easy calculation of the statistical measures discussed in the book.
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Sprachwissenschaft Sprachwissenschaften
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik Literatur, Deutsch, Fremdsprachen (Unterricht & Didaktik)
- Geisteswissenschaften Sprachwissenschaft Semantik & Pragmatik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
Weitere Infos & Material
1. Introduction: statistics meets corpus linguistics; 2. Vocabulary: frequency, dispersion and diversity; 3. Semantics and discourse: collocations, keywords and reliability of manual coding; 4. Lexico-grammar: from simple counts to complex models; 5. Register variation: correlation, clusters and factors; 6. Sociolinguistics and stylistics: individual and social variation; 7. Change over time: working diachronic data; 8. Bringing everything together: ten principles of statistical thinking, meta-analysis and effect sizes.
