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 65.
... Blumer (1956) could wage what seemed to many to be a credible attack on variable analysis in social science. ... Later, in 1968, sociologist James Coleman observed that the investigation of response unreliability was an almost ...
Error that occurs when the recorded or observed value is different from the true value of the variable. We consider this to be an exhaustive list, and we argue that any type of survey error can be conceptualized within this framework.
... the potential role of these components in the production of similarities and differences observed across settings. ... the empirical data are made with respect to more abstract concepts and theories, not simply observable variables.
1.5 RELIABILITY OF MEASUREMENT Let us return to the above definition of measurement error as the difference between the recorded or observed value and the true value of the variable (see Groves, 1989, 1991). There have been two basic ...
specification of relations between observable indicators and potential measures. ... to rule out such methodological artifacts as explanatory variables whenever one entertains inferences about differences in patterns and processes.