Statistics for Psychology (4th Edition)

 
9780131931671: Statistics for Psychology (4th Edition)
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This book brings to life the compelling underlying logic of statistical methods so that readers can not only do the computations, but also truly understand what they are doing and remember what they have learned for years to come. This book covers the basic introductory statistics and methods including central tendency and variability, inferential statistics (Z scores, the normal curve, sample versus population, and probability), the t test, the analysis of variance, correlation, prediction, and more. For research analysts and reporters in the field of psychology.

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Class-tested and developed over two decades, the material for this innovative text reflects recent changes in both research practice and in the teaching of statistics for psychology: 1) Statistics are done by computer, not by hand, so the text stresses deep understanding, not brief explanation followed by the usual plugging numbers into formulas. 2) The majority of psychology majors are human-and word-oriented, not math-oriented, so this text employs their way of learning--for example, requiring them to put what they learn into words lay persons can understand.

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Designed to prepare readers to "do" statistics, to read statistical research, and to understand articles, this book emphasizes the intuitive, deemphasizes the mathematical, and explains everything in clear, simple language. It bases all explanations, examples, and practice problems on definitional formulas, and teaches each procedure verbally, numerically, and often visually -- describing the same examples in each of these ways. It gives examples of how each method is reported in the journals, and uses examples drawn from clinical, organizational, and educational psychology as well as from experimental, social, developmental, and other fields. Covers: Displaying the Order in a Group of Numbers; The Mean, Variance, Standard Deviation, and Z Scores; Correlation; Prediction; Some Key Ingredients for Inferential Statistics; Introduction to Hypothesis Testing; Hypothesis Tests with Means of Samples; Statistical Power and Effect Size; The t Test for Dependent Means; The t Test for Independent Means; Introduction to the Analysis of Variance; and The Structural Model in the Analysis of Variance. Present the general linear model that integrates all the major techniques covered. Acknowledges the on-going -- and very hotly debated -- controversy in statistics over the value of significance tests and the associated proposals for replacing them with effect size, point estimates, and confidence intervals. For anyone needing an introduction to, or refresher of, contemporary statistics with applications to psychology.

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