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 48.
... Model Representation of CTST 42 3.5 Scaling of Variables 43 3.6 Designs for Reliability Estimation 45 3.7 Validity and Measurement Error 46 3.8 Reliability Models for vii Contents.
... (CTST). As indicated in the above quote from Lord and Novick (1968) (a book ... model do not “exist” in reality, only in the models, so it does no good to ... CTST are less than optimal for evaluating the reliability of survey measures ...
... CTST models that assume multiple univocal measures. Multiple indicators, by contrast, contain specific components of ... model, another classical psychometric model for understanding responses to survey questions. Using a modern ...
... CTST model applies and that we wish to draw inferences about the extent of measurement error in that population. The model assumes that Y is a univocal measure of the continuous latent random variable T, and that there is a set of ...
... models: the tau-equivalent measures model is a special case of the congeneric model, and the parallel measures model ... CTST Figure 3.5. Comparison. 3.3 NONRANDOM MEASUREMENT ERRoR 41 3.3 Nonrandom Measurement Error.
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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 |