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 88.
With appropriate measurement designs, it is possible to isolate some types of errors statistically and control for them in the analysis of data. Over the past two decades (i.e., since the mid-1980s), we have seen a burgeoning research ...
... as many stones unturned, which often encouraged me to take the analysis further, or to consider an alternative set of estimates, or even in some cases actually recode the data, in order to make the study as good as it could be.
In 1968, I was taking courses in reliability theory, factor analysis, and item response theory in the Department of Educational Psychology at Wisconsin (from Anne Cleary, Chester Harris and Frank Baker) in order to fulfill a Ph.D. minor ...
Robert M. Pirsig, Zen and the art ofmotorcycle maintenance (1974) Measurement issues are among the most critical in scientific research because analysis and interpretation of empirical patterns and processes depend ultimately on the ...
1.3 SURVEY MEASUREMENT ERRORS Measurement represents the link between theory and the analysis of empirical data. Consequently, the relationship between measures of empirical indicators and the theoretical constructs they represent is an ...