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 76.
... Nonrandom Measurement Error 41 3.4 The Common-Factor Model Representation of CTST 42 3.5 Scaling of Variables 43 3.6 Designs for Reliability Estimation 45 3.7 Validity and Measurement Error 46 3.8 Reliability Models for vii Contents.
3.7 Validity and Measurement Error 46 3.8 Reliability Models for Composite Scores 51 3.9 Dealing with Nonrandom or Systematic Error 53 3.10 Sampling Considerations 55 3.11 Conclusions 57 . Reliability Methods for Multiple Measures 59 ...
Among social scientists, almost everyone agrees that without valid measurement, there may be little for social science to ... A corollary to this principle is that reliability of measurement (as distinct from validity) is a necessary, ...
A key purpose of studies of measurement errors is to identify which types of questions, questionnaires, and interviewer practices produce the most valid and reliable data. In the chapters that follow, I consider ways in which the extent ...
Interestingly, Blumer's argument focused on the issues of reliability and validity of survey data. He believed that survey data had a high degree of reliability, but were of questionable validity. As I argue in this book, ...