An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data
Response propensity (RP) models are widely used in survey research to analyse response processes. One application is to predict sample members who are likely to be survey nonrespondents. The potential nonrespondents can then be targeted using responsive and adaptive strategies with the aim of incre...
Saved in:
Main Authors: | Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis |
---|---|
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/8188 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of a naive Bayesians classifiers in assessing the supplier
by: Mijailović Snežana, et al.
Published: (2017-01-01) -
Two new nonrandomized response models for surveys on sensitive topics
by: Andreas Quatember
Published: (2025-01-01) -
The effect of Tai Chi on plasma homocysteine in 1176 adults: a propensity score matching-based study
by: Yingchun Gu, et al.
Published: (2025-01-01) -
A software tool for applying Bayes' theorem in medical diagnostics
by: Theodora Chatzimichail, et al.
Published: (2024-12-01) -
Comparative Study of Remimazolam and Midazolam During Sedated Upper Gastrointestinal Endoscopy: A Propensity Score Matching Analysis
by: Ryoji Ichijima, et al.
Published: (2025-01-01)