(To see other currencies, click on price)
MORE ABOUT THIS BOOK
Main description:
This book provides a practical, hands-on guide to conducting user studies in informatics. Its purpose is to explain the foundations of different experimental designs together with the appropriate statistical analyses for studies most often conducted in computing. Common mistakes are highlighted together with guidelines on how they should be avoided. The book is intended for advanced undergraduate students, beginning graduate students and as a refresher for any researcher evaluating the usefulness of informatics for people by doing user studies. With clear, non-technical language, fundamental concepts are explained and illustrated using diverse examples. In addition to the foundations, practical tips to starting, acquiring permission, recruiting participants, conducting and publishing studies are included. A how-to guide, in the form of a cookbook, is also included. The cookbook recipes can be followed step-by-step or adjusted as necessary for different studies. Each recipe contains step-by-step instructions and concrete advice.
Contents:
SECTION 1 - DESIGNING THE USER STUDY.- Chapter 1: Overview.- Chapter 2: Variables.- Chapter 3: Design Equation and Statistics.- Chapter 4: Between-Subjects Design.- Chapter 5: Within-Subject Designs.- Chapter 6: Advanced Designs.- SECTION 2 - PRACTICAL TIPS
Chapter 7: Understanding Main and Interaction Effects.- Chapter 8: Conducting Multiple Comparisons.- Chapter 9: Gold Standard and User Evaluations.- Chapter 10: Recruiting and Motivating Study Participants.- Chapter 11: Institutional Review Board (IRB) Approval.- Chapter 12: Resources.- SECTION 3 - COMMON MISTAKES TO AVOID
Chapter 13: Avoid Bias.- Chapter 14: Avoid Missing the Effect.- Chapter 15: Avoid Missing Variables or Conditions.- Chapter 16: Other Errors to Avoid.- SECTION 4 - Appendix: COOKBOOK for Designing User Studies in Informatics.- Recipe1: Evaluating Standalone Algorithms using Artifacts.- Recipe 2: Evaluating Standalone Algorithms using Subjects.- Recipe 3: Comparing Algorithms Using Artifacts.- Recipe 4: Comparing Algorithms using Subjects.- Recipe 5: Evaluating Standalone Systems using Subjects.- Recipe 6: Comparing Systems Using Subjects.
PRODUCT DETAILS
Publisher: Springer (Springer London Ltd)
Publication date: November, 2013
Pages: 176
Weight: 433g
Availability: Available
Subcategories: General Issues, General Practice
From the same series
Christopher G. Chute
Adrian Stavert-Dobson
John T. Finnell
Marion J. Ball
Marion J. Ball
Thomas Wetter
Vimla L. Patel
Naakesh A. Dewan
Chris McCarthy
Kathryn J. Hannah
Stephen Goundrey-Smith
Sajeesh Kumar
William F. Bria
Naakesh A. Dewan
Sajeesh Kumar
Philip R.O. Payne
Stephen Goundrey-Smith
Valerie Powell
J.A. Magnuson
Vimla L. Patel
Morris F. Collen
Sajeesh Kumar
Alain Venot
Eta S. Berner
James Andrews
Bruce R. Schatz
Prakash M. Nadkarni
Naakesh A. Dewan
Joan M. Kiel
Reinhold Haux
Marion J. Ball
Michael K. Bourke
Krzysztof Zielinski
Chris McCarthy
Marion J. Ball
Sajeesh Kumar
Marion J. Ball
Robert M. Kolodner
Patrice Degoulet
Kimball I. Maull
Stephen Goundrey-Smith
Erica L. Drazen
Joyce C. Niland
Stephen Goundrey-Smith
Peter L. Elkin
Edward H. Shortliffe
Nancy M. Lorenzi
James Andrews
Valerie Powell
Louis M. Abbey
Morris F. Collen
Lawrence L. Weed
Patricia Flatley Brennan
Gondy Leroy
Sajeesh Kumar
Bruce Schatz
Prakash M. Nadkarni
Christoph U. Lehmann
Reinhold Haux
Marion J. Ball
Marion J. Ball
Rudi van de Velde
Nancy M. Lorenzi
Deborah Lewis
Kenneth Goodman
Eleanor Callahan Hunt
Marion J. Ball
Marion J. Ball
Patrick W. O'Carroll
James G. Anderson
James E. Demetriades
Rajeev K. Bali
Marion J. Ball
Harold P. Lehmann
Susan Houston
Eta S. Berner
Patricia Flatley Brennan
Charles P. Friedman
Reinhold Haux
Naakesh A. Dewan
Ursula Hubner
Nancy M. Lorenzi
Keith Ruskin
Christoph U. Lehmann
William F. Bria
Keith Ruskin
Susan Houston
Ursula Hubner
Patricia Flatley Brennan
Eta S. Berner
Rajeev K. Bali
Harold P. Lehmann
Marion J. Ball