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Everyday Chaos by Brian CleggChaos and complexity explained, with illuminating examples ranging from unpredictable pendulums to London's wobbly Millennium Bridge.The math we are taught in school is precise and only deals with simple situations. Reality is far more complex. Trying to understand a system with multiple interacting components-the weather, for example, or the human body, or the stock market-means dealing with two factors- chaos and complexity. If we don't understand these two essential subjects, we can't understand the real world. In Everyday Chaos, Brian Clegg explains chaos and complexity for the general reader, with an accessible, engaging text and striking full-color illustrations. By chaos, Clegg means a system where complex interactions make predicting long-term outcomes nearly impossible; complexity means complex interacting systems that have new emergent properties that make them more than the sum of their parts. Clegg illustrates these phenomena with discussions of predictable randomness, the power of probability, and the behavior of pendulums. He describes what Newton got wrong about gravity; how feedback kept steam engines from exploding; and why weather produces chaos. He considers the stock market, politics, bestseller lists, big data, and London's wobbling Millennium Bridge as examples of chaotic systems, and he explains how a better understanding of chaos helps scientists predict more accurately the risk of catastrophic Earth-asteroid collisions. We learn that our brains are complex, self-organizing systems; that the structure of snowflakes exemplifies emergence; and that life itself has been shown to be an emergent property of a complex system.
Call Number: Q172.5.C45 C588 2020
ISBN: 9780262539692
Publication Date: 2020-10-06
IBM SPSS for Intermediate Statistics by Nancy L. Leech; Karen C. Barrett; George A. MorganDesigned to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book reviews research designs and how to assess the accuracy and reliability of data; how to determine whether data meet the assumptions of statistical tests; how to calculate and interpret effect sizes for intermediate statistics, including odds ratios for logistic analysis; how to compute and interpret post-hoc power; and an overview of basic statistics for those who need a review. Unique chapters on multilevel linear modeling; multivariate analysis of variance (MANOVA); assessing reliability of data; multiple imputation; mediation, moderation, and canonical correlation; and factor analysis are provided. SPSS syntax with output is included for those who prefer this format. The new edition features: * IBM SPSS version 22; although the book can be used with most older and newer versions * New discusiion of intraclass correlations (Ch. 3) * Expanded discussion of effect sizes that includes confidence intervals of effect sizes (ch.5) * New information on part and partial correlations and how they are interpreted and a new discussion on backward elimination, another useful multiple regression method (Ch. 6) * New chapter on how to use a variable as a mediator or a moderator (ch. 7) * Revised chapter on multilevel and hierarchical linear modeling (ch. 12) * A new chapter (ch. 13) on multiple imputation that demonstrates how to deal with missing data * Updated web resources for instructors including PowerPoint slides and answers to interpretation questions and extra problems and for students, data sets, chapter outlines, and study guides. IBM SPSS for Intermediate Statistics, Fifth Edition provides helpful teaching tools: * all of the key SPSS windows needed to perform the analyses * outputs with call-out boxes to highlight key points * interpretation sections and questions to help students better understand and interpret the output * extra problems with realistic data sets for practice using intermediate statistics * Appendices on how to get started with SPSS, write research questions, and basic statistics. An ideal supplement for courses in either intermediate/advanced statistics or research methods taught in departments of psychology, education, and other social, behavioral, and health sciences. This book is also appreciated by researchers in these areas looking for a handy reference for SPSS