Mixed-Effects Regression Models in Linguistics

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Cover of 'Mixed-Effects Regression Models in Linguistics'

Table of Contents

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Book Overview
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Chapter 1 Introduction
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Chapter 2 Mixed Models with Emphasis on Large Data Sets
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Chapter 3 The L2 Impact on Learning L3 Dutch: The L2 Distance Effect
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Chapter 4 Autocorrelated Errors in Experimental Data in the Language Sciences: Some Solutions Offered by Generalized Additive Mixed Models
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Chapter 5 Border Effects Among Catalan Dialects
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Chapter 6 Evaluating Logistic Mixed-Effects Models of Corpus-Linguistic Data in Light of Lexical Diffusion
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Chapter 7 (Non)metonymic Expressions for government in Chinese: A Mixed-Effects Logistic Regression Analysis

Attention for Chapter 1: Introduction

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Citations

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Summary Dimensions citations

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Chapter title	Introduction
Chapter number	1
Book title	Mixed-Effects Regression Models in Linguistics
Published by	Springer, Cham, January 2018
DOI	10.1007/978-3-319-69830-4_1
Book ISBNs	978-3-31-969828-1, 978-3-31-969830-4
Authors	Dirk Speelman, Kris Heylen, Dirk Geeraerts

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	4	100%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	2	50%
Unknown	2	50%

Readers by discipline	Count	As %
Linguistics	1	25%
Neuroscience	1	25%
Unknown	2	50%