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 30.
Although it is not possible to credit all the sources of my education at Michigan, I wish to acknowledge particularly the support over the years of Jon Krosnick, Charles Cannell, Leslie Kish, Arland Thornton, Bob Groves, Jim House, ...
... 1984', Cannell, Miller and Oksenberg, 1981; Krosnick, 1999; Schwarz, 1999a, 1999b; Sirken, Herrmann, Schechter, Schwarz, Tanur, and Tourangeau, 1999; Sudman, Bradburn and Schwarz, 1996; Tourangeau, 1984; Tourangeau and Rasinski, ...
... the motivational context of the setting that produces the information; and the response framework in which the information is then transmitted (see, e.g., Alwin, 1991b; Alwin, 1992; Krosnick, 1999; Krosnick and Alwin, 1987, 1988, ...
Until fairly recently, however, little attention was paid to obtaining empirical estimates of measurement error structures (see, e.g., Alwin and Jackson, 1979; Alwin, 1989, 1992, 1997; Alwin and Krosnick, 1991b; Andrews, 1984; ...
The potential usefulness of these developments can be seen from Krosnick and Alwin's (1989) review of possible applications of the idea that respondents maximize their utilities [see Esser (1986); also see the discussion below].