„For those who are engaged in survey work or gathering other databy asking questions of human beings, Margins of Error is awell-written book that can be highly recommended.“(Technometrics, May 2008)
„The last chapter, titled Final Thoughts and Future Directions, is an excellent ending for the book. Experts of surveyresearch could begin by reading that chapter first, as it give themost important points of the book in a nutshell and refers nicelyback to the previous chapters. In addition, it includesprecious thoughts and ideas for future research. experiencetalks in this book. Truly recommended.“ (InternationalStatistical Review Aug 2008)
Enhance the quality of survey results by recognizing andreducing measurement errors.
Margins of Error: A Study of Reliability in Survey Measurementdemonstrates how and hwy identifying the presence and extent ofmeasurement errors in survey data is essential for improving theoverall collection and analysis of the data. The author outlinesthe consequences of ignoring survey measurement errors and alsodiscusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality ofsurvey data.
Logically organized and clearly written, this book:
* Deconstructs the data gathering process into six main elementsof the response process: question adequacy, comprehension, accessibility, retrieval, motivation, and communication
* Provides an exhaustive review of valuable reliabilityestimation techniques that can be applied to survey data
* Identifies the types of questions and interviewer practicesthat are essential to the collection of reliable data
* Addresses hypotheses regarding which survey questions, sourcesof information, and questionnaire formats produce the most reliabledata
In conjunction with research data gathered on nearly 500 surveymeasures and the application of an empirical approach grounded inclassical measurement theory, this book discusses the sources ofmeasurement error and provides the tools necessary for improvingsurvey data collection methods.
Margins of Error enables statisticians and researchers in thefields of public opinion and survey research to design studies thatcan detect, estimate, and reduce measurement errors that may havepreviously gone undetected. This book also serves as a supplementaltextbook for both undergraduate and graduate survey methodologycourses.
Margins of Error: A Study of Reliability in Survey Measurementdemonstrates how and hwy identifying the presence and extent ofmeasurement errors in survey data is essential for improving theoverall collection and analysis of the data. The author outlinesthe consequences of ignoring survey measurement errors and alsodiscusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality ofsurvey data.
Logically organized and clearly written, this book:
* Deconstructs the data gathering process into six main elementsof the response process: question adequacy, comprehension, accessibility, retrieval, motivation, and communication
* Provides an exhaustive review of valuable reliabilityestimation techniques that can be applied to survey data
* Identifies the types of questions and interviewer practicesthat are essential to the collection of reliable data
* Addresses hypotheses regarding which survey questions, sourcesof information, and questionnaire formats produce the most reliabledata
In conjunction with research data gathered on nearly 500 surveymeasures and the application of an empirical approach grounded inclassical measurement theory, this book discusses the sources ofmeasurement error and provides the tools necessary for improvingsurvey data collection methods.
Margins of Error enables statisticians and researchers in thefields of public opinion and survey research to design studies thatcan detect, estimate, and reduce measurement errors that may havepreviously gone undetected. This book also serves as a supplementaltextbook for both undergraduate and graduate survey methodologycourses.
