Eye Tracking in Second Language Acquisition and Bilingualism provides foundational
knowledge and hands-on advice for designing, conducting, and analysing eye-tracking …

A transition towards mixed models is underway in science. This transition started up
because the requirements for using analyses of variances are often not met and mixed …

This Tutorial serves as both an approachable theoretical introduction to mixed-effects
modeling and a practical introduction to how to implement mixed-effects models in R. The …

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models
for linguistics. The book covers simple uses of linear models through generalized models to …

Abstract The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical
analyses in psychological science and may become the default approach to analyzing …

Standard generic inverse variance methods for the combination of single proportions are
based on transformed proportions using the logit, arcsine, and Freeman‐Tukey double …

Delegation is an important part of organizational success and can be used to overcome
personal shortcomings and draw upon the expertise and abilities of others. However …

Children learn language more easily than adults, though when and why this ability declines
have been obscure for both empirical reasons (underpowered studies) and conceptual …

This paper aims to introduce multilevel logistic regression analysis in a simple and practical
way. First, we introduce the basic principles of logistic regression analysis (conditional …

Contrast coding in regression models, including mixed-effect models, changes what the
terms in the model mean. In particular, it determines whether or not model terms should be …