2023
DOI: 10.2478/jos-2023-0022
|View full text |Cite
|
Sign up to set email alerts
|

Block Weighted Least Squares Estimation for Nonlinear Cost-based Split Questionnaire Design

Yang Li,
Le Qi,
Yichen Qin
et al.

Abstract: In this study, we advocate a two-stage framework to deal with the issues encountered in surveys with long questionnaires. In Stage I, we propose a split questionnaire design (SQD) developed by minimizing a quadratic cost function while achieving reliability constraints on estimates of means, which effectively reduces the survey cost, alleviates the burden on the respondents, and potentially improves data quality. In Stage II, we develop a block weighted least squares (BWLS) estimator of linear regression coeff… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 33 publications
0
0
0
Order By: Relevance