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Advanced Methods for Conducting Online Behavioral Research [Kõva köide]

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  • Formaat: Hardback, 286 pages, kõrgus x laius: 254x178 mm, kaal: 690 g, Illustrations
  • Ilmumisaeg: 01-Jan-2010
  • Kirjastus: American Psychological Association
  • ISBN-10: 1433806959
  • ISBN-13: 9781433806957
Teised raamatud teemal:
Advanced Methods for Conducting Online Behavioral ResearchSuurem pilt
  • Formaat: Hardback, 286 pages, kõrgus x laius: 254x178 mm, kaal: 690 g, Illustrations
  • Ilmumisaeg: 01-Jan-2010
  • Kirjastus: American Psychological Association
  • ISBN-10: 1433806959
  • ISBN-13: 9781433806957
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781433806957.html
Märksõnad:
This book goes beyond the basics to teach readers advanced methods for conducting behavioral research on the Internet. Readers are shown, step by step, how to conduct online experiments, surveys, and ability testing, use advanced graphic tools, apply automatic text analysis tools, check the validity of protocols, and much more.

The Internet is revolutionizing the way psychologists conduct behavioral research. Studies conducted online are not only less error-prone and labor-intensive but also rapidly reach large numbers of diverse participants at a fraction of the cost of traditional methods. In addition to improving the efficiency and accuracy of data collection, online studies provide automatic data storage and deliver immediate personalized feedback to research participants-a major incentive that can exponentially expand participant pools. Furthermore, behavioral researchers can also track data on online behavioral phenomena, including Instant Messaging (IM), social networking, and other social media.

Readers are shown, step by step, how to conduct online experiments, surveys, and ability testing, use advanced graphic tools such as drag-and-drop objects, apply automatic text analysis tools, check the validity of protocols, automate the storage and analysis of data, record amp quot field notes amp quot on the behavior of online subjects and chatroom or blogging communities, and much more. Chapters also address critical issues such as data security, ethics, participant recruitment, and how to ensure the completion of tests or questionnaires. This volume also features supplemental resources, links, scripts, and instructions to further assist readers with their online research. See the supplemental materials tab for details.

This book is designed for researchers and advanced graduate students in the behavioral sciences seeking greater technical detail about emerging research methods. Readers will be well equipped to implement and integrate these exciting new methods into their own Internet-based behavioral research effectively, securely, and responsibly.
Contributors vii
I Getting Started
1(26)
How to Use This Book
3(6)
John A. Johnson
Samuel D. Gosling
An Overview of Major Techniques of Web-Based Research
9(18)
Michael H. Birnbaum
II Considerations When Designing Web Pages
27(48)
Design and Formatting in Internet-Based Research
29(16)
Ulf-Dietrich Reips
Using Graphics, Photographs, and Dynamic Media
45(18)
John H. Krantz
John E. Williams
Drag & Drop: A Flexible Method for Moving Objects, Implementing Rankings, and a Wide Range of Other Applications
63(12)
Wolfgang Neubarth
III Studying Internet Behavior
75(54)
Collecting Data from Social Networking Web Sites and Blogs
77(14)
Elizabeth Mazur
Using Automated ``Field Notes'' to Observe the Behavior of Online Subjects
91(18)
Sonja Utz
Automatic Text Analysis
109(20)
Matthias R. Mehl
Alastair J. Gill
IV Transporting Traditional Methodologies to the Web
129(88)
Internet-Based Ability Testing
131(18)
Ulrich Schroeders
Oliver Wilhelm
Stefan Schipolowski
Web-Based Self-Report Personality Scales
149(18)
John A. Johnson
Online Collection of Informant Reports
167(12)
Simine Vazire
Conducting Online Surveys
179(14)
Tracy L. Tuten
Conducting True Experiments on the Web
193(24)
Ulf-Dietrich Reips
John H. Krantz
V Cross-Cutting Issues
217(56)
Using Lotteries, Loyalty Points, and Other Incentives to Increase Participant Response and Completion
219(16)
Anja S. Goritz
Security and Data Protection: Collection, Storage, and Feedback in Internet Research
235(20)
Olaf Thiele
Lars Kaczmirek
Ethical Issues in Psychological Research on the Internet
255(18)
Tom Buchanan
John E. Williams
Index 273(12)
About The Editors 285
Samuel D. Gosling, PhD, is a professor of psychology at the University of Texas at Austin. He has been using the Internet to collect data since the mid 99 s, when he created a questionnaire to collect personality ratings of pets by their owners. Since then, he has published numerous articles that make use of data collected on the Internet these articles focus on such diverse topics as personality change over the life span, the links between music preferences and personality, geographic variation in psychological traits, and perceptions of others based on their Web sites and their online social networking profiles (e.g., Facebook). His 2 4 American Psychologist article focused on evaluating the pros and cons of Internet methods.   Dr. Gosling's substantive research has focused on animal personality and on how human personality is manifested in everyday contexts like bedrooms, offices, clothing, Web pages, and music preferences. The latter topic was summarized in his book, Snoop: What Your Stuff Says About You (2 8).   Dr. Gosling is a recipient of an American Psychological Association Distinguished Scientific Award for Early Career Contribution.   John A. Johnson, PhD, is a professor of psychology at the Pennsylvania State University, DuBois. He also serves as the consultant for the International Personality Item Pool, a Web-based repository for psychological measures in the public domain. He entered the field of computer-assisted psychological research in 98 , when he wrote microcomputer programs for scoring and interpreting the Hogan Personality Inventory. When the World Wide Web emerged in the 99 s, he transported concepts from these programs to the Web. He has published research on assessing the validity of data collected on the Internet and on sharing data through Web-based collaboratories.