Elizabeth A. Wentz is the Director for the School of Geographical Sciences and Urban Planning, a professor of geography and planning, and a member of the Executive Committee of the GeoDa Center at Arizona State University. Her research focuses on the design, implementation, and evaluation of geographic technologies with a particular emphasis on applying these tools to study and understand the urban environment. She has authored numerous research articles and book chapters and has served on panels for the National Science Foundation, National Institutes of Health, and other national and international agencies.
• APA examples and high resolution screen shots to help students correctly format documents within 15 minutes.
• Over 150 completed Reference examples
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• How to use Headings effectively in your writing
• Specific examples that cover how to cite new media such as blog posts, emails, websites, online lectures, computer programs, social media and much more.
• A new section on using and citing DOI's (Digital Object Identifiers) for new media.
• A Short Sample paper in APA format.
• For more information on APA Made Easy and downloadable APA templates visit: YouVersusTheWorld.com.
Timelines of History begins with the emergence of our earliest African ancestors and takes the reader through the history of cultures and nations around the world to arrive at the present day-the beginning of a new millennium. A dynamic, layered timeline zooms in and out of time, speeding up or slowing down to keep pace with the size and scope of events.
Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world.
The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect.
Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
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