Designed for beginning statistics and research courses, this text explains how consumers of research can read, understand and critically evaluate the statistical information contained in technical research reports. The major goals are: to help readers decipher the statistical terminology and notations used by authors of technical reports; and to encourage critical evaluation of the way in which any study is executed - focusing on how data is collected, analyzed and interpreted - so as to determine whether the researcher's conclusions and claims are justified. To achieve this two-fold objective, excerpts from over 500 recent research articles, including tables, figures, and portions of textual material are presented and discussed. Many of the excerpts illustrate conceptual or procedural mistakes that are often made by researchers. This second edition features up-to-date research articles, more detailed coverage of many key topics, including hypothesis testing and examples drawn from a variety of disciplines.
This uniquely accessible text shows precisely how to decipher and critique statistically-based research reports. Praised for its non-intimidating writing style, the text emphasizes concepts over formulas.
The text is also useful for applied researchers who need advice on how to analyze their own data and summarize their empirical findings. Students in education and other disciplines need...
Advanced Statistics in Research: Reading, Understanding and Writing Up Data Anaylsis Results; makes multivariate statistics accessible to all readers--including those with little training in research or data analysis; Advanced Statistics in ...
Reading Statistics and Research
How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them.
The book details how statistics can be understood by developing actual skills to carry out rudimentary work. Examples are drawn from mass communication, speech communication, and communication disorders.
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This book provides a showcase for "best practices" in teaching statistics and research methods in two- and four-year colleges and universities.
Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
One of the greatest strengths of this text is the consistent integration of research methods and statistics so that students can better understand how the research process requires the combination of these elements.