Evaluating the Effect of Dependent Interviewing on the Quality of Measures of Change
Bibliographic Data
| ID | 2407443 |
|---|---|
| Authors | Peter Lugtig (0000-0001-8548-6828, Utrecht University), Gerty J L M Lensvelt-Mulders (University of Humanistics, Utrecht, Netherlands), Gerty Lensvelt‐mulder (0000-0003-3269-1021, University of Humanistic Studies) |
| Year | 2014 |
| Volume | 26 |
| Issue | 2 |
| Pages | 172-190 |
| Publication date | 2014-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | CAM (JOURNAL) |
| Journal identifiers | ISSN: 1087-8513 • E-ISSN: 1552-3969 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1525822x13491860 |
| OpenAlex | W2115697730 |
| Language | EN |
| Citations received | 1 |
| References cited | 18 |
Dependent interviewing (DI) uses respondent data from earlier waves in panel surveys to improve the data quality of change estimates. Apart from a positive effect on data quality through reducing overestimations of change, DI could also affect data quality negatively when it leads to satisficing and an overestimation of stability between waves. In this article, we experimentally test two frequently used DI designs under different levels of measurement error. Our data consist of income reports from a four-wave panel survey conducted in the Netherlands. The effects of our experiment on data quality are modeled with a quasi-simplex structure to enable the decomposition of variances into measurement errors and true change. Our main conclusion is that there is some risk of a negative effect on data quality for proactive DI but not for reactive DI
Data quality · Econometrics · Interview · Observational error · Operations management · Panel data · Quality (philosophy) · Respondent · Satisficing · Stability (learning theory) · Statistics · Computer Science · Economic and Environmental Valuation · Engineering · Mathematics · Psychology · Statistical Methods and Bayesian Inference · Survey Methodology and Nonresponse
Evaluation of Measurement Instruments Using a Structural Modeling Approach
Margins of Error
Structural Equations with Latent Variables
The Psychology of Survey Response
Survey Errors and Survey Costs
Response strategies for coping with the cognitive demands of attitude measures in surveys
Estimation of Models with Correlated Measurement Errors from Panel Data
A Note On Correlated Errors in Repeated Measurements
Straightening the Seam Effect in Panel Surveys
Principles and Practice of Structural Equation Modeling
Separating Reliability and Stability in Test-Retest Correlation
The Estimation of Measurement Error in Panel Data
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,11 |
| Citation span | 2017 - 2017 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |