Marilyn D. Lovett

Rose M. Spielman

William J. Jenkins

The images in this version are in color. For a less-expensive grayscale version, search for ISBN 9781680923278. Psychology 2e is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology 2e incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.

Psychology 2e

David M. Glover

Scott C. Doney

This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

Modeling Methods for Marine Science

There is arguably no more famous book about the arts of interpretation and analysis than Sigmund Freud's 1899 Interpretation of Dreams. Though the original edition of just 600 copies took eight years to sell out, it eventually became a classic text that helped cement Freud's reputation as one of the most significant intellectual figures of the 19th and 20th centuries. In critical thinking, just as in Freud's psychoanalytical theories, interpretation is all about understanding the meaning of evidence, and tracing the significance of things. Analysis can then be brought in to tease out the implicit reasons and assumptions that lie underneath the interpreted evidence. Interpretation of Dreams is a masterclass in building telling analyses from ingenious interpretation of evidence. Freud worked from the assumption that all dreams were significant attempts by the unconscious to resolve conflicts. As a result, he argued, they contain in altered and disguised forms clues to our deepest unconscious urges and desires. Each must be taken on its own terms to tease out what they really mean. Though Freud's theories have often been criticized, he remains the undisputed master of interpretation - with his critics suggesting that he was, if anything, too ingenious for his own good.

The Interpretation of Dreams

Camille Morvan

Amos Tversky and Daniel Kahneman's 1974 paper 'Judgement Under Uncertainty: Heuristics and Biases' is a landmark in the history of psychology. Though a mere seven pages long, it has helped reshape the study of human rationality, and had a particular impact on economics - where Tversky and Kahneman's work helped shape the entirely new sub discipline of 'behavioral economics.' The paper investigates human decision-making, specifically what human brains tend to do when we are forced to deal with uncertainty or complexity. Based on experiments carried out with volunteers, Tversky and Kahneman discovered that humans make predictable errors of judgement when forced to deal with ambiguous evidence or make challenging decisions. These errors stem from 'heuristics' and 'biases' - mental shortcuts and assumptions that allow us to make swift, automatic decisions, often usefully and correctly, but occasionally to our detriment. The paper's huge influence is due in no small part to its masterful use of high-level interpretative and analytical skills - expressed in Tversky and Kahneman's concise and clear definitions of the basic heuristics and biases they discovered. Still providing the foundations of new work in the field 40 years later, the two psychologists' definitions are a model of how good interpretation underpins incisive critical thinking.

Heuristics and Biases

Judgment Under Uncertainty

Amos Tversky and Daniel Kahneman’s 1974 paper ‘Judgement Under Uncertainty: Heuristics and Biases’ is a landmark in the history of psychology. Though a mere seven pages long, it has helped reshape the study of human rationality, and had a particular impact on economics – where Tversky and Kahneman’s work helped shape the entirely new sub discipline of ‘behavioral economics.’ The paper investigates human decision-making, specifically what human brains tend to do when we are forced to deal with uncertainty or complexity. Based on experiments carried out with volunteers, Tversky and Kahneman discovered that humans make predictable errors of judgement when forced to deal with ambiguous evidence or make challenging decisions. These errors stem from ‘heuristics’ and ‘biases’ – mental shortcuts and assumptions that allow us to make swift, automatic decisions, often usefully and correctly, but occasionally to our detriment. The paper’s huge influence is due in no small part to its masterful use of high-level interpretative and analytical skills – expressed in Tversky and Kahneman’s concise and clear definitions of the basic heuristics and biases they discovered. Still providing the foundations of new work in the field 40 years later, the two psychologists’ definitions are a model of how good interpretation underpins incisive critical thinking.

William J. Jenkins

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