Tuesday 14 January 2014

PDF⋙ Statistics in Plain English, Fourth Edition by Timothy C. Urdan

Statistics in Plain English, Fourth Edition by Timothy C. Urdan

Statistics in Plain English, Fourth Edition

Statistics in Plain English, Fourth Edition by Timothy C. Urdan PDF, ePub eBook D0wnl0ad

This inexpensive paperback provides a brief and accessible overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different technique, ranging from basic concepts like central tendency to more advanced concepts such as t tests, ANOVA, and regression, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Each chapter ends with an example of the statistic in use, Writing it Up sections that demonstrate how to write about and interpret statistics seen in books and journals, a summary, a glossary of statistical terms and symbols, and recommended readings.

New features in the fourth edition include:

-Each chapter now features a real yet accessible example taken from a published journal article that helps students see how statistics are applied and written about in real research.

-Worked problems at the end of each chapter help students test their understanding of the material.

-More complete online-teaching materials including new voice-annotated PowerPoint-based movies, a new test bank, videos of the author demonstrating how to calculate and interpret most of the statistics in the book, detailed solutions for the text problems, as well as these popular tools that were available with the 3rd edition: PowerPoint chapter summaries, interactive problems (including an overview of the problem's solution for Instructors) with SPSS datasets for practice, links to useful websites including YouTube videos showing the author providing worked examples of key statistics, and an author blog.

-A new chapter on person-centered data analysis such as cluster and latent class analysis for the growing body of research that examines non-linear patterns in the data.

-The non parametric chapter now appears earlier in the book so correlation directly precedes regression, for a more logical flow.

-The glossary now appears at the end of the book since many definitions are referenced in several chapters. A page reference to where the term is first introduced is included.



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