Computer Assisted Survey Information Collection (Wiley Series in Survey Methodology) - Hardcover

Baker, Reginald P.

Hardcover

ISBN 10: 0471178489 ISBN 13: 9780471178484

Publisher: Wiley-Interscience, 1998

Synopsis

The latest computer assisted methods for survey research

Computer assisted survey information collection (CASIC) methods arerapidly replacing traditional "paper and pencil" survey procedures.Researchers now apply computer technologies at every step of thesurvey process, from automating interviews and computerizing datacollection to data capture and preparation. CASIC techniques arereshaping today's survey research and methodology --and redefiningtomorrow's.

Computer Assisted Survey Information Collection is the mostup-to-date and authoritative resource available on CASIC methodsand issues. Its comprehensive treatment provides the scope neededto evaluate past development and implementation of CASIC designs,to anticipate its future directions, and to identify new areas forresearch and development. Written in an array of evidentiary stylesby more than 60 leading CASIC practitioners from numerousdisciplines, this coherently organized volume:
* Covers CASIC development and its integration into existingdesigns and organizations
* Discusses instrument development and design
* Examines survey design issues, including the incorporation ofexperiments
* Discusses case management of automated survey systems
* Evaluates training and supervision of computer assistedinterviewers
* Reviews self-administered surveys, including optically scannablemail surveys
* Considers emerging technologies, such as voice recognition,pen-CASIC, and the Web as a data collection tool.

Supplemented with copious tables, figures, and references as wellas an extensive glossary, Computer Assisted Survey InformationCollection provides a solid foundation in CASIC for seasonedresearch-survey practitioners and graduate students across a broadspectrum of social science disciplines.

About this title

About the Author

MICK P. COUPER, PhD, is Research Professor at both the University of Michigan Survey Research Center and the Joint Program in Survey Methodology at the University of Maryland.

Reginald P. Baker is President & Chief Operating Officer of Market Strategies International, USA.

From the Back Cover

The latest computer assisted methods for survey research

Computer assisted survey information collection (CASIC) methods are rapidly replacing traditional "paper and pencil" survey procedures. Researchers now apply computer technologies at every step of the survey process, from automating interviews and computerizing data collection to data capture and preparation. CASIC techniques are reshaping today's survey research and methodology ―and redefining tomorrow's.

Computer Assisted Survey Information Collection is the most up-to-date and authoritative resource available on CASIC methods and issues. Its comprehensive treatment provides the scope needed to evaluate past development and implementation of CASIC designs, to anticipate its future directions, and to identify new areas for research and development. Written in an array of evidentiary styles by more than 60 leading CASIC practitioners from numerous disciplines, this coherently organized volume:

• Covers CASIC development and its integration into existing designs and organizations
• Discusses instrument development and design
• Examines survey design issues, including the incorporation of experiments
• Discusses case management of automated survey systems
• Evaluates training and supervision of computer assisted interviewers
• Reviews self-administered surveys, including optically scannable mail surveys
• Considers emerging technologies, such as voice recognition, pen-CASIC, and the Web as a data collection tool.

Supplemented with copious tables, figures, and references as well as an extensive glossary, Computer Assisted Survey Information Collection provides a solid foundation in CASIC for seasoned research-survey practitioners and graduate students across a broad spectrum of social science disciplines.

Computer assisted survey information collection (CASIC) methods are rapidly replacing traditional paper and pencil survey procedures. Researchers now apply computer technologies at every step of the survey process, from automating interviews and computerizing data collection to data capture and preparation. CASIC techniques are reshaping today's survey research and methodology --and redefining tomorrow's.

Computer Assisted Survey Information Collection is the most up-to-date and authoritative resource available on CASIC methods and issues. Its comprehensive treatment provides the scope needed to evaluate past development and implementation of CASIC designs, to anticipate its future directions, and to identify new areas for research and development. Written in an array of evidentiary styles by more than 60 leading CASIC practitioners from numerous disciplines, this coherently organized volume:

• Covers CASIC development and its integration into existing designs and organizations
• Discusses instrument development and design
• Examines survey design issues, including the incorporation of experiments
• Discusses case management of automated survey systems
• Evaluates training and supervision of computer assisted interviewers
• Reviews self-administered surveys, including optically scannable mail surveys
• Considers emerging technologies, such as voice recognition, pen-CASIC, and the Web as a data collection tool.

Supplemented with copious tables, figures, and references as well as an extensive glossary, Computer Assisted Survey Information Collection provides a solid foundation in CASIC for seasoned research-survey practitioners and graduate students across a broad spectrum of social science disciplines.

Edition details

• Publisher: Wiley-Interscience
• Publication date: 1998
• Language: English
• ISBN 10: 0471178489
• ISBN 13: 9780471178484
• Binding: Hardcover
• Edition number: 1
• Number of pages: 680
• Editor: Couper Mick P., Bethlehem Jelke, Clark Cynthia Z. F., Martin Jean, Nicholls II William L., O'Reilly James M.