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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... population elements in the sampling frame or population lists. Sampling error. Error that results from the fact that a subset of the population is used to represent the population rather than the population itself. Nanresponse error ...
... population level. Inferences about measurement error can only be made with the realization that they pertain to respondents from samples of Measurement Errors Non-Response Errors Sampling Errors Coverage Errors Population Parameters ...
A Study of Reliability in Survey Measurement Duane F. Alwin. specified populations, and it is important to realize, thus ... population mean (11), that is, MSE (y) : E(y ~ 102. This results in the standard expression: MSE (y) = Bias2 + ...
... population specification errors, sampling error, nonresponse bias, as well as various forms of measurement errors. Here (and throughout the remainder of this book) we use the term in its more narrow psychometric meaning, focusing 1.5 ...
... population, for example, by age and levels of education. On the first point, many multivariate analysis techniques common in analysis of survey datae.g., hierarchical linear models (HLM) and event history models (EHM)have ignored ...
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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 |