Margins of Error: A Study of Reliability in Survey MeasurementJohn Wiley & Sons, 2007. gada 9. jūl. - 408 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. |
No grāmatas satura
1.–5. rezultāts no 96.
... Methods for Reliability Estimation 95 5.1 The Test-Retest Method 96 5.2 Solutions to the Problem 101 5.3 Estimating Reliability Using the Quasi-Markov Simplex Model 104 5.4 Contributions of the Longitudinal Approach 110 5.5 Components ...
... methods in which he pointed out that survey researchers had largely ignored the problem of reliability, depending without qualms on results from single questions (McNemar, 1946). Psychometric methods had not yet made their way into ...
... methods places a high priority on being able to anticipate their effects. In the worst case, errors in even one of these categories may be so great as to invalidate any conclusions drawn from the data. In the best case, errors are ...
... methods. It is important for users of survey data to realize that these various survey errors are nested in important ways (see Figure 1.1). To describe this aspect of the phenomenon, we use the metaphor of a set of interrelated ...
... methods of survey data collection through the application of this knowledge. The research addresses the following sets of questions: ' How reliable are standard types of survey measures in general use by the research community? ' Does ...
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Margins of Error: A Study of Reliability in Survey Measurement Duane F. Alwin Priekšskatījums nav pieejams - 2007 |
Margins of Error: A Study of Reliability in Survey Measurement Duane F. Alwin Priekšskatījums nav pieejams - 2007 |