Nonsampling error in social surveys

A welcome and much-needed addition to the literature on survey data quality in social research, Nonsampling Error in Social Surveys , by David E. McNabb, examines the most common sources of nonsampling error: frame error; measurement error; response error, nonresponse error, and interviewer error. O...

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Bibliographic Details
Main Author: McNabb, David E.
Format: Book
Language:English
Published: Thousand Oaks, California Sage Publication 2014
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100 1 |a McNabb, David E. 
245 1 0 |a Nonsampling error in social surveys  |c David E. McNabb 
260 1 |a Thousand Oaks, California  |b Sage Publication  |c 2014 
300 |a xv, 255p  |c 23cm 
504 |a Includes bibliographical references and index. 
505 |a PI: Concept and issues in nonsampling error research -- PII: Major sources of nonsampling error in surveys -- PIII: Error control applications 
520 |a A welcome and much-needed addition to the literature on survey data quality in social research, Nonsampling Error in Social Surveys , by David E. McNabb, examines the most common sources of nonsampling error: frame error; measurement error; response error, nonresponse error, and interviewer error. Offering the only comprehensive and non-technical treatment available, the book focus on controlling error shows readers how to eliminate the opportunity for error to occur, and features revealing examples of past and current efforts to control the incidence and effects of nonsampling error. Most importantly, it gives readers the tools they need to understand, identify, address, and prevent the most prevalent and difficult-to-control types of survey errors. 
592 |a 00013231  |b 19/06/2014  |c RM185.94  |d PVK 
650 0 |a Social surveys  |x methodology 
650 0 |a Sampling (statistics) 
650 0 |a Social sciences  |x Statistical methods 
999 |a vtls000053078  |c 4558  |d 4558