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 45.
... Multiple Measures versus Multiple Indicators 61 4.2 Multitrait-Multimethod Approaches 67 4.3 Common-Factor Models of the MTMM Design 71 4.4 Classical True-Score Representation of the MTMM Model 77 4.5 The Growing Body of MTMM Studies 79 ...
... Multiple Indicators 265 11.3 The Latent Class Model for Multiple Measures 272 11.4 The Latent Markov Model 277 11.5 Conclusions 286 12. Final Thoughts and Future Directions 12.1 Reliability as an Object of Study 290 12.2 Why Study the ...
... indicators and the theoretical constructs they represent is an especially important aspect of measurement, in that ... multiple indicators, combining different indicators using MIMC (multipleindicator multiple~cause) models or common ...
... Indicators Figure 1.2. The relationship between constructs, indicators, measures, and measurement errors. It is ... multiple measures that can be used to assess variation in the indicator. It is crucial in the present context that a ...
... multiple indicators (rather than multiple measures). It is well known that quantities like Cronbach's or depend on factors other than the reliabilities of the component items. While some attention has been given to this issue, we still ...
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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 |