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 17.
... Alwin. P (yg) 0.8 ~ *7 4 ~ A 0.7 W ~ ~ 0.6 My.) 0.5 A 0.4 0.3 0.2 A 0.1 A ya P (yg) P (ya) 0.3 1 W Figure 3.1. Four examples of a propensity distribution for a fixed person. Ye Figure 3.2. Path diagram of the classical true-score model. 6' ...
... Path diagram of the classical true-score model for a single measure. variance of the propensity distribution for ygp is equal to the variance of the error scores, i.e., VAR(egp) = VAR(ygp). These properties combine to define measurement ...
... Path diagram of the classical true-score model for. Figure 3.3. Path diagram of the classical true-score model for two tau-equivalent measures. 3.4 THE COMMON-FACTOR MODEL REPRESENTATION OF CTST Figure 3.5. Comparison. 3.3 NONRANDOM ...
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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 |