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 similarity between 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Sean Wallis is Principal Research Fellow and Deputy Director of the Survey of English Usage at UCL.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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 topose meaningful research questions in terms of choice and constraintemploy confidence intervals correctly (including in graph plots)select a significance test (and interpret its results)construct confidence intervals for functions of independent proportionsmeasure the size of the effect of one variable on another or the similaritybetween two distributions; andevaluate whether the results of two experiments significantly differAppropriate 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 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 item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041031864
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