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This book is designed to help students organize their thinking about psychology at a conceptual level. The focus on behaviour and empiricism has produced a text that is better organized, has fewer chapters, and is somewhat shorter than many of the leading books. The beginning of each section includes learning objectives; throughout the body of each section are key terms in bold followed by their definitions in italics; key takeaways, and exercises and critical thinking activities end each section.
Introduction to Psychology for Medical Students deals with general psychology aimed for medical undergraduate students. The book discusses psychology and its relevance to medicine, particularly on the relation of the mind and the treatment of physical diseases. The authors explain perceiving and imagining; and how perception is dependent on past experience or learning, and the effects of motivation and of mood on perception. The authors also discuss abstract and concrete thinking, emotional use of words, unconscious thinking, creative thinking, learning, and remembering. The unconscious process of forgetting of unwelcome memories is repression, while consciously trying to forget them is suppression. The authors also explain normal conflict, frustration, and reaction to stress including the physical aspects of emotions causing increases in blood pressure, in adrenaline flow, or in blood glucose level. The authors also discuss the hypnotic states, individual susceptibility, the induction of hypnotic states, and their clinical applications. This book is intended for medical undergraduate students, as well as to general readers interested in psychology and human behavior.
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
"Full chapters on the IA and exam preparation; EE advice and guidance; Lesson-by-lesson layout for easy planning; Guiding questions, critical thinking extensions and interesting activity suggestions for every lesson; Full colour design with images and graphics; Topics covered in-depth to increase IB marks for students; Clear language and explanations for easy comprehension for EAL (and all) students; Complete glossary with definitions of over 400 key terms; Interesting topics not included in other books, like "Love and Marriage"; Free support through our blog and Facebook groups"--Publisher's website.
Includes Part 1, Number 1 & 2: Books and Pamphlets, Including Serials and Contributions to Periodicals (January - December)
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