Internet Research Skills: Edition 3

SAGE
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Internet Research Skills is a clear, concise guide to effective online research for social science and humanities students. The first half of the book deals with publications online, devoting separate chapters to academic articles, books, official publications and news sources, which form the core secondary sources for social science research. The second half of the book deals with the open web, a vast and confusing realm of materials, many of which have no direct print counterpart.

The third edition has been updated throughout and now includes:

- coverage of cutting edge online services as well as newly developed approaches to using online materials

- a new chapter on organising your research and internet research methods

- additional material on the use of social networks for research.

- illustrations, examples and short exercises to help you put what you learn into practice.

Internet Research Skills is an invaluable guide for undergraduate students carrying out research projects and for postgraduate students working on theses and dissertations.

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About the author

Niall Ó Dochartaigh is a lecturer in political science and sociology at the National University of Ireland, Galway.

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Additional Information

Publisher
SAGE
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Published on
May 17, 2012
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Pages
224
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ISBN
9781446281192
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Language
English
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Genres
Reference / Research
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Content Protection
This content is DRM protected.
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Read Aloud
Available on Android devices
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15 Minutes. 

That's as long as we think any student should have to spend formatting their papers. Unfortunately, students often spend hours trying to find answers from hard to follow manuals or confusing websites. Whether you want a step-by-step guide to building a title page, suggestions for writing with greater clarity, or freedom from doing internet searches every time you have a question about APA standards, APA Made Easy is the only blueprint that you will need for writing in APA style. This comprehensive writing guide includes illustrated steps for formatting an APA document in: Microsoft Word 2010, Microsoft Word 2011 for Mac, Microsoft Word 2013, and Apple's Pages programs. You will also learn how to build an APA formatted paper from the ground up by understanding: 

• How to outline information you've already gathered. 
• How to write an essay or research paper from an outline. 
• How to write a solid introduction.
• How to use the required headings in a research paper including Abstracts, Method, Subjects and Participants, Materials or Apparatus, Results, and Discussion sections. 
• Building Citations within your paper and on your Reference page. 

Also included in this guide: 

• APA examples and high resolution screen shots to help students correctly format documents within 15 minutes. 
• Over 150 completed Reference examples 
• Over 60 completed In-Text Citation examples 
• 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.

Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs.

Watch Andy Field's introductory video to Discovering Statistics Using R

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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