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Bayesian Cognitive Modeling
Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
Introduction to Bayesian Data Analysis for Cognitive Science
This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive science (e.g., linguistics, psycholinguistics, psychology, computer science), with a particular focus on modeling data from planned experiments. The book relies on the probabilistic programming language Stan and the R package brms, which is a front-end to Stan. The book only assumes that the reader is familiar with the statistical programming language R, and has basic high school exposure to pre-calculus mathematics; some of the important mathematical constructs needed for the book are introduced in the first chapter. Through this book, the reader will be able to develop a pra...
Experimentology
An engaging research methods text integrating a classic approach to conducting experiments in psychology with open science practices and values. How does a researcher run a high-quality psychology experiment? What time-tested methods should be used, and how can more robust and accurate results be achieved? A dynamic collaboration between groundbreaking cognitive scientist Michael Frank and a diverse cohort of researchers innovating in the field—Mika Braginsky, Julie Cachia, Nicholas Coles, Tom Hardwicke, Robert Hawkins, Maya Mathur, and Rondeline Williams—Experimentology introduces the art of the modern psychological experiment with an emphasis on open science values of accessibility and...
Logique et analyse
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Der Facial-Feedback-Effekt. Aktuelle Erkenntnisse in der Emotionspsychologie
Studienarbeit aus dem Jahr 2019 im Fachbereich Psychologie - Sozialpsychologie, Note: 1,0, Hamburger Fern-Hochschule, Sprache: Deutsch, Abstract: Diese Hausarbeit beschäftigt sich mit folgender Fragestellung: Ändern sich die Erkenntnisse zum Facial-Feedback-Effekt aufgrund aktueller Studien und Metaanalysen? Sollte Lächeln wirklich stimmungsaufhellend wirken, wäre dies nicht nur ein großer Schritt für die Wissenschaft, sondern auch für jeden Einzelnen ein guter Rat gegen schlechte Laune. Zunächst einmal sollen die zentralen Begrifflichkeiten erläutert werden, anschließend wird der aktuelle Forschungsstand kritisch untersucht.
