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 70.
Formal Properties of Survey Questions 9.1 Question Form 183 9.2 Types of Closed-Form Questions 185 9.3 Number of Response Categories 191 9.4 Unipolar versus Bipolar Scales 195 9.5 Don't Know Options 196 9.6 Verbal Labeling of Response ...
... the research of large numbers of academic social scientists, and the livelihoods of growing numbers of pollsters, ... and the response framework in which the information is then transmitted (see, e.g., Alwin, 1991b; Alwin, 1992; ...
1.2.1 Classifying Types of Survey Error There are a number of different ways to think about the relationship among the several types of survey ... within-sample sources of response variance normally attributed to measurement error.
For example, in attitude measurement, how is reliability affected by the form of the question, the length of the question, the number of response categories, the extent of verbal labeling, and other properties of the response format?
If one could erase the respondent's memory and instantaneously repeat a particular question, a reliable measure would be one that produced the same response upon repeated measurement. There are a number of different types of measurement ...