Margins of Error: A Study of Reliability in Survey Measurement
John Wiley & Sons, 2007. gada 9. jūl. - 416 lappuses
Enhance the quality of survey results by recognizing and reducing measurement errors.
Margins of Error: A Study of Reliability in Survey Measurement demonstrates how and hwy identifying the presence and extent of measurement errors in survey data is essential for improving the overall collection and analysis of the data. The author outlines the consequences of ignoring survey measurement errors and also discusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality of survey data.
Logically organized and clearly written, this book:
In conjunction with research data gathered on nearly 500 survey measures and the application of an empirical approach grounded in classical measurement theory, this book discusses the sources of measurement error and provides the tools necessary for improving survey data collection methods.
Margins of Error enables statisticians and researchers in the fields of public opinion and survey research to design studies that can detect, estimate, and reduce measurement errors that may have previously gone undetected. This book also serves as a supplemental textbook for both undergraduate and graduate survey methodology courses.
1.5. rezultāts no 85.
The Source and Content of Survey Questions 149 7.1 Source of Information 150 7.2 Proxy Reports 152 7.3 Content of Questions 153 7.4 Summary and Conclusions 162 8.
Although information about the level of reporting reliability in the standard survey interview is lacking, a small and growing cadre of investigators is addressing ...
And finally, the material presented in Chapter 10 is an extension of a chapter, Aging and errors of measurement: Implications for the study of life-span development, in Cognition, Aging, and Self-Reports, edited by N. Schwarz, ...
Sometimes they are used very generally to refer to the overall stability or dependability of survey results, including the extent of sampling error, nonresponse bias, instrument bias, as well as reporting accuracy.
In the next chapter I deconstruct the data gathering process into its components in order to recognize the considerable potential for measurement error at each step in the reporting process. That chapter and subsequent ones focus ...