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 88.
... present one. In a very real sense, the idea for this project began nearly 40 years ago, when I was a graduate student in sociology at the University of Wisconsin. In 1968, I was taking courses in reliability theory, factor analysis, and ...
... present context that a distinction be maintained between the idea ofmultiple indicators and that of multiple measures, as they refer to very different things. In the example of the indicator, “level of education,” measures may include ...
... present research investigates these questions within the framework of a set of working hypotheses derived from theory and research experience on the sources of measurement errors. Simply put, the analysis will focus on explaining ...
... presents these methods in four parts: (1) I describe the longitudinal data sets selected for inclusion in the present analysis, (2) I summarize the measures available in these studies and the conceptual domains represented, (3) I ...
... present themselves as knowledgeable, even when they are not, and this may vary by culture. Furthermore, survey researchers often discourage respondents from saying “Don't Know.” Converse (1976-77) suggested that when respondents say ...
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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 |