Reginald P. Baker – författare
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2 produkter
2 produkter
Del 66 - Wiley Series in Survey Methodology
Computer Assisted Survey Information Collection
Inbunden, Engelska, 1998
1 902 kr
Skickas inom 5-8 vardagar
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.
904 kr
Skickas inom 5-8 vardagar
Provides new insights into the accuracy and value of online panels for completing surveys Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data.This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial method of collecting data. Online Panel Research presents 19 chapters of previously unpublished work addressing a wide range of topics, including coverage bias, nonresponse, measurement error, adjustment techniques, the relationship between nonresponse and measurement error, impact of smartphone adoption on data collection, Internet rating panels, and operational issues.The datasets used to prepare the analyses reported in the chapters are available on the accompanying website: www.wiley.com/go/online_panel Covers controversial topics such as professional respondents, speeders, and respondent validation.Addresses cutting-edge topics such as the challenge of smartphone survey completion, software to manage online panels, and Internet and mobile ratings panels.Discusses and provides examples of comparison studies between online panels and other surveys or benchmarks.Describes adjustment techniques to improve sample representativeness.Addresses coverage, nonresponse, attrition, and the relationship between nonresponse and measurement error with examples using data from the United States and Europe.Addresses practical questions such as motivations for joining an online panel and best practices for managing communications with panelists.Presents a meta-analysis of determinants of response quantity.Features contributions from 50 international authors with a wide variety of backgrounds and expertise.This book will be an invaluable resource for opinion and market researchers, academic researchers relying on web-based data collection, governmental researchers, statisticians, psychologists, sociologists, and other research practitioners.