In phonetics, many datasets are encountered which deal with dynamic data collected over
time. Examples include diphthongal formant trajectories and articulator trajectories observed …

Biodiversity is crucial for the provision of ecosystem functions. However, ecosystems are
now exposed to a rapidly growing number of anthropogenic pressures, and it remains …

The analysis of experimental data with mixed-effects models requires decisions about the
specification of the appropriate random-effects structure. Recently, Barr, Levy, Scheepers …

Phonetics is the scientific field concerned with the study of how speech is produced, heard,
and perceived. It abounds with data, such as acoustic speech recordings, neuroimaging …

Generalised additive mixed models (GAMMs) are increasingly popular in dynamic speech
analysis, where the focus is on measurements with temporal or spatial structure such as …

Generalized additive mixed models are introduced as an extension of the generalized linear
mixed model which makes it possible to deal with temporal autocorrelational structure in …

In this study we present a novel set of discrimination-based indicators of language
processing derived from Naive Discriminative Learning (ndl) theory. We compare the …

The Drd2 gene, encoding the dopamine D 2 receptor (D2R), was recently indicated as a
potential target in the etiology of lowered sociability (ie, social withdrawal), a symptom of …

This is a hands-on introduction to Generalised Additive Mixed Models (GAMMs) in the
context of linguistics with a particular focus on dynamic speech analysis (eg formant …

When doing empirical studies in the field of language evolution, change over time is an
inherent dimension. This tutorial introduces readers to mixed models, Growth Curve …