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Learning: A Behavioral, Cognitive, and Evolutionary Synthesis provides an integrated account of the psychological processes involved in learning and conditioning and their influence on human behavior. With a skillful blend of behavioral, cognitive, and evolutionary themes, the text explores various types of learning as adaptive specialization that evolved through natural selection. Robust pedagogy and relevant examples bring concepts to life in this unique and accessible approach to the field.

Learning. --- Learning, Psychology of.

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Key Features: Coverage of traditional concepts in statistics includes expected value operators, likelihood functions, maximum likelihood estimation, and least squares estimation, preparing students for concepts they will continue to encounter in more advanced material. Real research on specific antisocial behaviors provides consistent context for answering research questions in an interesting and intuitive way. Discussion of statistical inference in an easy-to-understand manner ensures that students have the foundation they need to avoid misusing hypothesis tests. A detailed presentation of resampling methods and randomization tests for experiments and correlation provides a better way to analyze data when the assumptions of the classical tests are not met. A number of current techniques for data analysis not included in other textbooks are introduced, including quantile plots, quantile-quantile plots, normal quantile plots, analysis of residuals in scatter plots, bootstrap methods, robust estimators, robust regression, and the use of randomization (permutation) tests for experiments and correlation.

Statistics --- Methodology.