Jorre Vannieuwenhuyze
Biographic Data
| ID | 4453983 |
|---|---|
| NAME | Jorre Vannieuwenhuyze |
| GIVEN NAMES | Jorre |
| FAMILY NAME | Vannieuwenhuyze |
| SIGNATURE | VANNIEUWENHUYZE J |
| AFFILIATIONS | KU Leuven |
| ORCID | 0000-0002-9820-7653 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 31 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 2 |
Evaluating Relative Mode Effects in Mixed-Mode Surveys
In order to investigate the advantage of mixed-mode (MM) surveys, selection effects between the modes should be evaluated. Selection effects refer to differences in respondent compositions on the target variables between the modes. However, estimation of selection effects is not an easy task because they may be completely confounded with measurement effects between the modes (differences in measurement error). Publications concerning the estimati…
A Method for Evaluating Mode Effects in Mixed-mode Surveys
Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selecti…
A Method for Evaluating Mode Effects in Mixed-mode Surveys
Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selecti…
Evaluating Relative Mode Effects in Mixed-Mode Surveys
In order to investigate the advantage of mixed-mode (MM) surveys, selection effects between the modes should be evaluated. Selection effects refer to differences in respondent compositions on the target variables between the modes. However, estimation of selection effects is not an easy task because they may be completely confounded with measurement effects between the modes (differences in measurement error). Publications concerning the estimati…
A Method for Evaluating Mode Effects in Mixed-mode Surveys
Survey designs in which data from different groups of respondents are collected by different survey modes have become increasingly popular. However, such mixed-mode (MM) designs lead to a confounding of selection effects and measurement effects (measurement error) caused by mode differences. Consequently, MM data have poor quality. Nevertheless, comparing MM data with data from a comparable single-mode survey allows researchers to measure selecti…
Evaluating Relative Mode Effects in Mixed-Mode Surveys
In order to investigate the advantage of mixed-mode (MM) surveys, selection effects between the modes should be evaluated. Selection effects refer to differences in respondent compositions on the target variables between the modes. However, estimation of selection effects is not an easy task because they may be completely confounded with measurement effects between the modes (differences in measurement error). Publications concerning the estimati…
Computer Science (2 works) · Engineering (2 works) · Mathematics (2 works) · Selection bias (2 works) · Statistics (2 works) · Survey Methodology and Nonresponse (2 works) · Survey Sampling and Estimation Techniques (2 works) · Advanced Causal Inference Techniques (1 work) · Advertising (1 work) · Applied Psychology (1 work)