Nonsampling Error in Social Surveys

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Nonsampling Error in Social Surveys by Professor David E. McNabb, SAGE Publications
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Author: Professor David E. McNabb ISBN: 9781483323756
Publisher: SAGE Publications Publication: July 30, 2013
Imprint: SAGE Publications, Inc Language: English
Author: Professor David E. McNabb
ISBN: 9781483323756
Publisher: SAGE Publications
Publication: July 30, 2013
Imprint: SAGE Publications, Inc
Language: English

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’s 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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’s 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.

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