Worst Case Resistance Testing: A Nonresponse Bias Solution for Today’s Survey Research Realities
This study proposes a method of nonresponse assessment based on meta-analytical file-drawer techniques, also known as worst-case resistance testing (WCRT), and suitable for a wide range of data collection scenarios. A general method is devised to estimate the number of significantly different nonre...
Saved in:
Main Authors: | Stephen France, Frank G. Adams, V. Myles Landers |
---|---|
Format: | Article |
Language: | English |
Published: |
European Survey Research Association
2024-12-01
|
Series: | Survey Research Methods |
Subjects: | |
Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/8182 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Performance of Multiple Imputation in Social Surveys with Missing Data from Planned Missingness and Item Nonresponse
by: Julian B. Axenfeld, et al.
Published: (2024-08-01) -
Stakeholder Preference Assessment in Implementation Research: Application of Best-worst Scaling
by: MAO Run, et al.
Published: (2024-12-01) -
Are medical school preclinical tests biased for sex and race? A differential item functioning analysis
by: Esther Dasari Dale, et al.
Published: (2025-01-01) -
A statistical approach to the use of control entropy identifies differences in constraints of gait in highly trained versus untrained runners
by: Rana D. Parshad, et al.
Published: (2011-11-01) -
Implicit bias among health care providers and its influence on African Americans - A critical analysis
by: Khushboo PATEL
Published: (2020-09-01)