Mixed-Effects Regression Models in Linguistics

1. Introduction
Dirk Speelman, Kris Heylen, Dirk Geeraerts

2. Mixed Models with Emphasis on Large Data Sets
Geert Verbeke, Geert Molenberghs, Steffen Fieuws, Samuel Iddi

3. The L2 Impact on Learning L3 Dutch: The L2 Distance Effect
Job Schepens, Frans van der Slik, Roeland van Hout

4. Autocorrelated Errors in Experimental Data in the Language Sciences: Some Solutions Offered by Generalized Additive Mixed Models
R. Harald Baayen, Jacolien van Rij, Cecile de Cat, Simon Wood

5. Border Effects Among Catalan Dialects
Martijn Wieling, Esteve Valls, R. Harald Baayen, John Nerbonne

6. Evaluating Logistic Mixed-Effects Models of Corpus-Linguistic Data in Light of Lexical Diffusion
Danielle Barth, Vsevolod Kapatsinski

7. (Non)metonymic Expressions for government in Chinese: A Mixed-Effects Logistic Regression Analysis
Weiwei Zhang, Dirk Geeraerts, Dirk Speelman

Keywords: Statistics, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law, Semantics, Syntax