Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
"This paper studies the test-retest reliability of a standard self-reported life satisfaction measure and of affect measures collected from a diary method. The sample consists of 229 women who were interviewed on Thursdays, two weeks apart, in Spring 2005. The correlation of net affect (i.e., duration-weighted positive feelings less negative feelings) measured two weeks apart is 0.64, which is slightly higher than the correlation of life satisfaction (r=0.59). Correlations between income, net affect and life satisfaction are presented, and adjusted for attenuation bias due to measurement error. Life satisfaction is found to correlate much more strongly with income than does net affect. Components of affect that are more person-specific are found to have a higher test-retest reliability than components of affect that are more specific to the particular situation. While reliability figures for subjective well-being measures are lower than those typically found for education, income and many other microeconomic variables, they are probably sufficiently high to support much of the research that is currently being undertaken on subjective well-being, particularly in studies where group means are compared (e.g., across activities or demographic groups)"--National Bureau of Economic Research web site.
Buy this book
![Loading indicator](/images/ajax-loader-bar.gif)
Subjects
Methodology, Research, Well-beingShowing 2 featured editions. View all 2 editions?
Edition | Availability |
---|---|
1
The reliability of subjective well-being measures
2007, National Bureau of Economic Research
Electronic resource
in English
|
aaaa
|
2
The reliability of subjective well-being measures
2007, National Bureau of Economic Research
in English
|
zzzz
Libraries near you:
WorldCat
|
Book Details
Edition Notes
Title from PDF file as viewed on 6/1/2007.
Includes bibliographical references.
Also available in print.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?December 19, 2020 | Edited by MARC Bot | import existing book |
November 28, 2012 | Edited by AnandBot | Fixed spam edits. |
November 23, 2012 | Edited by 82.146.56.89 | Edited without comment. |
December 3, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
December 10, 2009 | Created by WorkBot | add works page |