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Mixed-Effects Regression Models in Linguistics

Overview of attention for book
Attention for Chapter 4: Autocorrelated Errors in Experimental Data in the Language Sciences: Some Solutions Offered by Generalized Additive Mixed Models
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Citations

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97 Mendeley
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Chapter title
Autocorrelated Errors in Experimental Data in the Language Sciences: Some Solutions Offered by Generalized Additive Mixed Models
Chapter number 4
Book title
Mixed-Effects Regression Models in Linguistics
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-69830-4_4
Book ISBNs
978-3-31-969828-1, 978-3-31-969830-4
Authors

R. Harald Baayen, Jacolien van Rij, Cecile de Cat, Simon Wood

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Czechia 1 1%
United Kingdom 1 1%
Canada 1 1%
United States 1 1%
Unknown 92 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 17 18%
Student > Master 9 9%
Student > Doctoral Student 7 7%
Lecturer 6 6%
Other 16 16%
Unknown 15 15%
Readers by discipline Count As %
Linguistics 28 29%
Psychology 14 14%
Agricultural and Biological Sciences 8 8%
Neuroscience 4 4%
Environmental Science 4 4%
Other 18 19%
Unknown 21 22%