Statistics in corpus linguistics research: a new approach
"Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualize. Statistics in Corpus Linguistics Research: A new approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a vis...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Routledge, Taylor & Francis Group
2021
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualize. Statistics in Corpus Linguistics Research: A new approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Software agnostic, this book discusses the "why" behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample data sets and easy-to-read visuals, this book focuses on practical issues, such as how to: pose research questions in terms of choice and constraint, employ confidence intervals correctly (including in graph plots), select optimal significance tests (and what results mean), measure the size of the effect of one variable on another, estimate the similarity of distribution patterns, and evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource"-- |
| Beschreibung: | Description based on online resource; title from digital title page (viewed on October 22, 2020) |
| Beschreibung: | 1 Online Ressource (xxvi, 355 Seiten) illustrations |
| ISBN: | 0429491697 9780429491696 9780429958670 0429958676 |
| DOI: | 10.4324/9780429491696 |
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| 500 | |a Description based on online resource; title from digital title page (viewed on October 22, 2020) | ||
| 520 | |a "Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualize. Statistics in Corpus Linguistics Research: A new approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Software agnostic, this book discusses the "why" behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample data sets and easy-to-read visuals, this book focuses on practical issues, such as how to: pose research questions in terms of choice and constraint, employ confidence intervals correctly (including in graph plots), select optimal significance tests (and what results mean), measure the size of the effect of one variable on another, estimate the similarity of distribution patterns, and evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource"-- | ||
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Datensatz im Suchindex
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| author | Wallis, Sean |
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| bvnumber | BV047201590 |
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| dewey-full | 410.1/88 |
| dewey-hundreds | 400 - Language |
| dewey-ones | 410 - Linguistics |
| dewey-raw | 410.1/88 |
| dewey-search | 410.1/88 |
| dewey-sort | 3410.1 288 |
| dewey-tens | 410 - Linguistics |
| discipline | Sprachwissenschaft Literaturwissenschaft |
| discipline_str_mv | Sprachwissenschaft Literaturwissenschaft |
| doi_str_mv | 10.4324/9780429491696 |
| format | Electronic eBook |
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| illustrated | Illustrated |
| index_date | 2024-07-03T16:51:14Z |
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| institution | BVB |
| isbn | 0429491697 9780429491696 9780429958670 0429958676 |
| language | English |
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| publisher | Routledge, Taylor & Francis Group |
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| spelling | Wallis, Sean Verfasser aut Statistics in corpus linguistics research a new approach Sean Wallis New York Routledge, Taylor & Francis Group 2021 © 2021 1 Online Ressource (xxvi, 355 Seiten) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from digital title page (viewed on October 22, 2020) "Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualize. Statistics in Corpus Linguistics Research: A new approach breaks these significance tests down for researchers in corpus linguistics and linguistic analysis, promoting a visual approach to understanding the performance of tests with real data, and demonstrating how to derive new intervals and tests. Software agnostic, this book discusses the "why" behind the statistical model, allowing readers a greater facility for choosing their own methodologies. Accessibly written for those with little to no mathematical or statistical background, it explains the mathematical fundamentals of simple significance tests by relating them to confidence intervals. With sample data sets and easy-to-read visuals, this book focuses on practical issues, such as how to: pose research questions in terms of choice and constraint, employ confidence intervals correctly (including in graph plots), select optimal significance tests (and what results mean), measure the size of the effect of one variable on another, estimate the similarity of distribution patterns, and evaluate whether the results of two experiments significantly differ. Appropriate for anyone from the student just beginning their career to the seasoned researcher, this book is both a practical overview and valuable resource"-- Corpora (Linguistics) / Data processing Linguistics / Statistical methods Computational linguistics Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 s Statistik (DE-588)4056995-0 s Computerlinguistik (DE-588)4035843-4 s DE-604 Erscheint auch als Druck-Ausgabe 9781138589377 Erscheint auch als Druck-Ausgabe 9781138589384 https://doi.org/10.4324/9780429491696 Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Wallis, Sean Statistics in corpus linguistics research a new approach Corpora (Linguistics) / Data processing Linguistics / Statistical methods Computational linguistics Computerlinguistik (DE-588)4035843-4 gnd Statistik (DE-588)4056995-0 gnd Korpus Linguistik (DE-588)4165338-5 gnd |
| subject_GND | (DE-588)4035843-4 (DE-588)4056995-0 (DE-588)4165338-5 |
| title | Statistics in corpus linguistics research a new approach |
| title_auth | Statistics in corpus linguistics research a new approach |
| title_exact_search | Statistics in corpus linguistics research a new approach |
| title_exact_search_txtP | Statistics in corpus linguistics research a new approach |
| title_full | Statistics in corpus linguistics research a new approach Sean Wallis |
| title_fullStr | Statistics in corpus linguistics research a new approach Sean Wallis |
| title_full_unstemmed | Statistics in corpus linguistics research a new approach Sean Wallis |
| title_short | Statistics in corpus linguistics research |
| title_sort | statistics in corpus linguistics research a new approach |
| title_sub | a new approach |
| topic | Corpora (Linguistics) / Data processing Linguistics / Statistical methods Computational linguistics Computerlinguistik (DE-588)4035843-4 gnd Statistik (DE-588)4056995-0 gnd Korpus Linguistik (DE-588)4165338-5 gnd |
| topic_facet | Corpora (Linguistics) / Data processing Linguistics / Statistical methods Computational linguistics Computerlinguistik Statistik Korpus Linguistik |
| url | https://doi.org/10.4324/9780429491696 |
| work_keys_str_mv | AT wallissean statisticsincorpuslinguisticsresearchanewapproach |