Reinhold Kliegl

TL;DR: The results suggest that microsaccades can be used to map the orientation of visual attention in psychophysical experiments and accentuate their role for visual information processing.

TL;DR: This paper showed that for typical psychological and psycholinguistic data, higher power is achieved without inflating Type I error rate if a model selection criterion is used to select a random effect structure that is supported by the data.

TL;DR: An advanced version of SWIFT is presented that integrates properties of the oculomotor system and effects of word recognition to explain many of the experimental phenomena faced in reading research and an analysis of the transition from parallel to serial processing.

TL;DR: This work shows that failure to converge typically is not due to a suboptimal estimation algorithm, but is a consequence of attempting to fit a model that is too complex to be properly supported by the data, irrespective of whether estimation is based on maximum likelihood or on Bayesian hierarchical modeling with uninformative or weakly informative priors.

TL;DR: In this paper, the authors focus on research practices but also offer guidelines for reviewers, editors, journal management, teachers, granting institutions, and university promotion committees, highlighting some of the emerging and existing practical solutions that can facilitate implementation of these recommendations.