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Research Methods Pedagogy: Engaging Psychology Students in Research Methods and Statistics
Research methods and statistics are central to the development of professional competence and evidence based psychological practice. (Noun, masculine) research on the development of psychological literacy. Despite this, many psychology students express little interest in, and in some cases of active dislike of, learning research methods and statistics. This ebook brings together current research, innovative evidence-based practice, and critical discourse.
Bayesian Statistics for Beginners
Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments based on incomplete or imperfect information; as that information is gathered and disseminated, the Bayesian approach corrects or replaces the assumptions and alters its decision-making accordingly to generate a new set of probabilities. As new data/evidence becomes available the probability for a particular hypothesis can therefore be steadily refined and revised. It is very we...
Another Science is Possible
Like fast food, fast science is quickly prepared, not particularly good, and it clogs up the system. Efforts to tackle our most pressing issues have been stymied by conflict within the scientific community and mixed messages symptomatic of a rushed approach. What is more, scientific research is being shaped by the bubbles and crashes associated with economic speculation and the market. A focus on conformism, competitiveness, opportunism and flexibility has made it extremely difficult to present cases of failure to the public, for fear that it will lose confidence in science altogether. In this bold new book, distinguished philosopher Isabelle Stengers shows that research is deeply intertwine...
Statistical Inference as Severe Testing
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Latin Literatures of Medieval and Early Modern Times in Europe and Beyond
The textual heritage of Medieval Latin is one of the greatest reservoirs of human culture. Repertories list more than 16,000 authors from about 20 modern countries. Until now, there has been no introduction to this world in its full geographical extension. Forty contributors fill this gap by adopting a new perspective, making available to specialists (but also to the interested public) new materials and insights. The project presents an overview of Medieval (and post-medieval) Latin Literatures as a global phenomenon including both Europe and extra-European regions. It serves as an introduction to medieval Latin's complex and multi-layered culture, whose attraction has been underestimated un...
Regression Modeling for Linguistic Data
The first comprehensive textbook on regression modeling for linguistic data offers an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. In the first comprehensive textbook on regression modeling for linguistic data in a frequentist framework, Morgan Sonderegger provides graduate students and researchers with an incisive conceptual overview along with worked examples that teach practical skills for realistic data analysis. The book features extensive treatment of mixed-effects regression models, the most widely used statistical method for analyzing linguistic data. Sonderegger begins with preliminaries to regression modeling: assu...
