This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.

What is meditation? What do people hope to get from practicing it and what do they really get? How can the effects of meditation be explained? And what are the best approaches to researching the psychology of meditation so we can understand more? This volume provides state-of-the-art answers to these questions. Contrary to commonly accepted wisdom, meditation comes in huge varieties and the reasons why people begin to meditate (and stay with it) are also numerous and diverse. Even mindfulness, which is often (wrongly) used as a synonym for meditation, comes in many forms. This book first describes the varieties of meditation in detail and then succinctly summarizes the beneficial effects found in the avalanche of studies available, especially in clinical contexts, and also explores recently emerging topics such as negative effects and the impact of ethics and spirituality. The author expertly provides theories of four main traditional meditation approaches, which has never been done before in this form, and gives a critical overview of Western approaches to explain the effects of meditation. In conclusion, he makes recommendations on how to improve future meditation research. This book is of interest to meditation researchers, mental health practitioners, students interested in meditation and mindfulness, and to everybody who seriously wants to know more about the topic.

This book focuses on how statistical reasoning works and on training programs that can exploit people's natural cognitive capabilities to improve their statistical reasoning. Training programs that take into account findings from evolutionary psychology and instructional theory are shown to have substantially larger effects that are more stable over time than previous training regimens. The theoretical implications are traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making researchers and other cognitive scientists, as well as to teachers of statistics and probabilistic reasoning.