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 80.
... Statistical Estimation Strategies 127 6.5 Comparison of Methods of Reliability Estimation 130 6.6 The Problem of Attrition 135 6.7 Which Reliability Estimates? 146 6.8 Conclusions 147 . The Source and Content of Survey Questions 149 7.1 ...
... Statistical Estimation of Components of Variation 231 10.9 Tests of Hypotheses about Group Differences 254 10.10 Conclusions 261 11. Reliability Estimation for Categorical Latent Variables 11.1 Background and Rationale 264 11.2 The ...
... Statistical analyses that ignore unreliability of variables underestimate the strength and significance of the statistical association between those variables. This underestimation not only makes the results of such analyses more ...
... statistical associations. 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 ...
... statistical matters, and his understanding of measurement issues have helped forge our collaboration on these and other projects. Pauline Mitchell, administrative assistant and word-processing expert par excellence, made it possible to ...
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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 |