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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6.–10. rezultāts no 92.
... Alwin, 1991). Non-response errors are nested within sampling errors, for example, because only those cases sampled have the opportunity to participate and provide a response to the survey and the cases representing nonresponse or ...
A Study of Reliability in Survey Measurement Duane F. Alwin. use of this classification, and further, any comparison of ... Alwin, 1988). Constant Errors of Errors Measurement Random Errors Interpretation 4._— Measures 6 MARGINS OF ERROR ...
... Alwin and Jackson, 1979; Bollen, 1989). Earlier we noted that sometimes the term reliability is used very generally to refer to the overall stability or dependability of research results, including the absence of population ...
... Alwin and Jackson, 1979; Alwin, 1989, 1992, 1997; Alwin and Krosnick, 1991b; Andrews, 1984; Bielby and Hauser, 1977; Bielby et al., 1977a, 1977b; Bound et al., 1990; Duncan et al., 1985; McClendon and Alwin, 1993; Rodgers, Andrews, and ...
... Alwin and Thornton, 1984). The same conclusion does not generalize to the case where “multiple indicators” (within the same domain, but not identical measures) are employed. There is, unfortunately, considerable confusion on this issue ...
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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 |