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. |
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1.–5. rezultāts no 56.
... covariances of the measurement errors are known, or rather that suitable estimates exist.” By contrast, within the structural equation models (SEM) tradition, there has ostensibly been considerable attention to the operation of ...
... covariances among variables in surveys, again because of the essence of the idea of randomness, but by virtue of their inflation of response variances, it is well known that they attenuate correlations among variables. In a later part ...
... covariance. We know considerably less about how to conceptualize the influence of nonrandom errors and to separate out their effects. As will be seen in subsequent discussions, the modeling of nonrandom errors is relatively uncharted ...
... to the Virtual impossibility of replicating questions exactly. When researchers employ similar, though not identical questions, and then examine correlation or covariance properties of the 35 3. Reliability Theory for Survey Measures.
... covariance properties of the data collected, their inferences about reliability of measurement are open to critical interpretation. This results from the fact that in multiple-indicators models the components of reliable variance are ...
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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 |