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 77.
This book focuses on one of these types of err0rsurvey measurement err0rs-and it is hoped that the program of research summarized in subsequent chapters will ... Constant Errors of Errors Measurement Random Errors Interpretation 4.
Constant Errors of Errors Measurement Random Errors Interpretation 4._ Measures Systematic Errors Theoretical Constructs Social 3 : Indicators Figure 1.2. The relationship between constructs, indicators, measures, and measurement ...
The diagram in Figure 1.2 specifies three types of measurement errors-constant errors, random errors, and systematic errors-that are of concern to researchers who have studied response errors in surveys. This and subsequent chapters ...
use the term in its more narrow psychometric meaning, focusing specifically on the absence of measurement errors. Even then, there are at least two different conceptions of error-random and nonrandom (or systematic) errors of ...
Measurement. Error. Get your facts first, and then you can distort them as much as you please. ... There are a number of different types of measurement error-the principal ones of which are random and systematic errors-and each has ...