Statistics in Corpus Linguistics Research A New Approach, 2nd Edition | 66.46 MB
Title: Statistics in Corpus Linguistics Research
Author: Sean Wallis;
Category: Nonfiction, Computers, Database Management, Data Processing, Application Software, Reference & Language, Language Arts
Language: English | 516 Pages | ISBN: 9781040615300
Description:
Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks 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 confidence intervals and tests.
This fully revised second edition includes a brand-new chapter describing a novel extended ‘MOVER’ method to derive accurate confidence intervals for numerous properties. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to
• pose meaningful research questions in terms of choice and constraint;
• employ confidence intervals correctly (including in graph plots);
• select a significance test (and interpret its results);
• construct confidence intervals for functions of independent proportions;
• measure the size of the effect of one variable on another or the similaritybetween two distributions; 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.
A website with downloadable resources for the calculations in this book is published at corplingstats.wordpress.com/siclr
Traditional approaches focused on significance tests have often been difficult for linguistics researchers to visualise. Statistics in Corpus Linguistics Research: A New Approach breaks 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 confidence intervals and tests.
This fully revised second edition includes a brand-new chapter describing a novel extended ‘MOVER’ method to derive accurate confidence intervals for numerous properties. With sample datasets and easy-to-read visuals, this book focuses on practical issues, such as how to
• pose meaningful research questions in terms of choice and constraint;
• employ confidence intervals correctly (including in graph plots);
• select a significance test (and interpret its results);
• construct confidence intervals for functions of independent proportions;
• measure the size of the effect of one variable on another or the similaritybetween two distributions; 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.
A website with downloadable resources for the calculations in this book is published at corplingstats.wordpress.com/siclr
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