Next Article in Journal
Generalized Fuzzy Graph Connectivity Parameters with Application to Human Trafficking
Next Article in Special Issue
On a Periodic Capital Injection and Barrier Dividend Strategy in the Compound Poisson Risk Model
Previous Article in Journal
Global Mittag–Leffler Stability and Stabilization Analysis of Fractional-Order Quaternion-Valued Memristive Neural Networks
Previous Article in Special Issue
Asymptotic Approximations of Ratio Moments Based on Dependent Sequences
Open AccessArticle

Treating Nonresponse in Probability-Based Online Panels through Calibration: Empirical Evidence from a Survey of Political Decision-Making Procedures

1
Department of Statistics and Operational Research, University of Granada, 18071 Granada, Spain
2
Institute for Advanced Social Studies, 14004 Cordoba, Spain
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(3), 423; https://doi.org/10.3390/math8030423
Received: 14 February 2020 / Revised: 11 March 2020 / Accepted: 11 March 2020 / Published: 15 March 2020
(This article belongs to the Special Issue Probability, Statistics and their Applications)
The use of probability-based panels that collect data via online or mixed-mode surveys has increased in the last few years as an answer to the growing concern with the quality of the data obtained with traditional survey modes. However, in order to adequately represent the general population, these tools must address the same sources of bias that affect other survey-based designs: namely under coverage and non-response. In this work, we test several approaches to produce calibration estimators that are suitable for survey data affected by non response where auxiliary information exists at both the panel level and the population level. The first approach adjusts the results obtained in the cross-sectional survey to the population totals, while, in the second, the weights are the result of two-step process where different adjusts on the sample, panel, and population are done. A simulation on the properties of these estimators is performed. In light of theory and simulation results, we conclude that weighting by calibration is an effective technique for the treatment of non-response bias when the response mechanism is missing at random. These techniques have also been applied to real data from the survey Andalusian Citizen Preferences for Political Decision-Making Procedures. View Full-Text
Keywords: calibration estimation; complex surveys; non response bias; probability panel calibration estimation; complex surveys; non response bias; probability panel
Show Figures

Figure 1

MDPI and ACS Style

Arcos , A.; Rueda , M.M.; Pasadas-del-Amo, S. Treating Nonresponse in Probability-Based Online Panels through Calibration: Empirical Evidence from a Survey of Political Decision-Making Procedures. Mathematics 2020, 8, 423.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop