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 64.
Although information about the level of reporting reliability in the standard survey interview is lacking, a small and growing cadre of investigators is addressing ...
Charlie Cannell hired me for the job at the University of Michigan and exposed me to interviewing methodology and survey research in a way I would never have thought possibleI have only the fondest of memories of my contact with ...
The survey interview is conceived of as a setting in which the question-answer format is used by the researcher to obtain the ... face-to-face interview situations, via telephone interviews, or in self-administered questionnaires.
Bound, Brown, Duncan, and Rodgers (1990) compared company records on employment and earnings data from a single large manufacturing firm with several thousand employees to responses of a sample of those employees interviewed by ...
The correlation between records and survey reports for the pay period immediately preceding the interviews was .46. Similarly a third measure of self-reported earnings from the interview, usual earnings, correlated .46 with the ...