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
6.–10. rezultāts no 68.
... observable indicators and potential measures. In the next chapter I “deconstruct” the data gathering process into its ... variables whenever one entertains inferences about differences in patterns and processes. Second, with knowledge of ...
... observed variables. As we noted in the previous chapter, survey methodologists define measurement error as error that occurs when the recorded or observed value is different from the true value of the variable (Groves, 1989). An ...
... observed and the true value of the variable. Obviously, in order to address ... variables we wish to measure in surveys have no “true” source against which ... observed” value and the “true” value. We can perhaps begin to 20 MARGlNS OF ...
... variable is .67, this means that one-third of the observed variance is due to random errors. This has nontrivial consequences for statistical tests on sample means, since the sample variance is in the denominator of simple test ...
... variables; and uppercase Greek symbols to represent population matrices relating random variables. We use lowercase symbols to denote person-level scores and within-person parameters ... observed-it could be a child's height, it could be the ...
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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 |