Margins of Error: A Study of Reliability in Survey Measurement
John Wiley & Sons, 2007. gada 9. jūl. - 416 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.
1.5. rezultāts no 56.
For example, concepts like religiosity, depression, intelligence, social status, attitudes, psychological Well being, functional status, and personality may be difficult to measure precisely because they largely reflect unobserved ...
... of a wide variety of types (e.g., facts, attitudes, beliefs, self-appraisals) as well as potential sources of measurement error, including both respondent characteristics (e.g., age, education) and formal attributes of questions.
Specifically, is factual information gathered more precisely than attitudinal and/or other subjective data? Also, do types of nonfactual questions (attitudes, beliefs and self-assessments) differ in reliability?
All of these factors play a role in affecting the quality of survey data, whether the question seeks information of a factual nature, or whether it asks for reports of subjective states, such as beliefs and attitudes, but they are ...
... say, from internal cognitive and affective cues regarding his/her attitude or level of approval 5. ... categories provided by the survey question measurement of subjective phenomena such as attitudes, beliefs, and self-perceptions.