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 https://corplingstats.wordpress.com/siclr

About the Author

Sean Wallis is Principal Research Fellow and Deputy Director of the Survey of English Usage at UCL.

"About this title" may belong to another edition of this title.

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