Sampling frame coverage and domain adjustment procedures for internet surveys

Date

2013-10-01

Author

Asan, Zerrin
Ayhan, Hüseyin Öztaş

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

148
views

0
downloads

The objective of this paper is to define and compare alternative sampling frames for the representative population coverage as a basis for sample selection in internet surveys. The study aims to provide a methodology for domain weighting and adjustment procedures for free access web surveys that are based on the restricted access surveys. Some basic variables can be proposed for the data adjustment, namely gender breakdown, age groups, and education groups. The application of our work consists of a first stage based on a web survey by an e-mail invitation (restricted access) and a second stage based on a voluntary participation web survey (free access). An advertising company's registered customer list was taken as the sampling frame population for the first stage. This frame was an electronic e-mail list of the population of registered customers. Two different types of questionnaire were loaded on the company's internet web site for a month each, for two independent rounds, for testing the visual aspects of the questionnaire design. The restricted access internet survey design relies on probability selection procedures in this study. These results are used with the provided algorithms for the adjustment procedures of free access web surveys. A new methodology is also proposed for the estimation and allocation of the population frame characteristics of adult internet users by gender and age groups. The proposed alternative methodologies will be beneficial tools for future web survey users.

Subject Keywords

Coverage error, Internet survey, Nonsampling error, Sample representativeness, Sampling frame, Internet survey, Weighting adjustment

URI

https://hdl.handle.net/11511/57392

Journal

QUALITY & QUANTITY

DOI

https://doi.org/10.1007/s11135-012-9701-8

Collections

Graduate School of Natural and Applied Sciences, Article

Suggestions

OpenMETU
Core

Univariate Sample Size Determination by Alternative Components: Issues on Design Efficiency for Complex Samples Yozgatlıgil, Ceylan (Exeley, Inc., 2018-06-01) Sample size determination for any sample survey can be based on the desired objectives of the survey as well as the level of confidence of the desired estimates for some survey variables, the desired precision of the survey results and the size of the population. In addition to these, the cost of enumeration can also be considered as an important criterion for sample size determination. Recently, some international organizations have been using univariate sample size determination approaches for their multi...
Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping Süzen, Mehmet Lütfi (Informa UK Limited, 2012-01-01) The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables i...
Fault detection and diagnosis in nonlinear dynamical systems Kılıç, Erdal; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2005) The aim of this study is to solve Fault Detection and Diagnosis (FDD) problems occurring in nonlinear dynamical systems by using model and knowledge-based FDD methods and to give a priority and a degree about faults. For this purpose, three model-based FDD approaches, called FDD by utilizing principal component analysis (PCA), system identification based FDD and inverse model based FDD are introduced. Performances of these approaches are tested on different nonlinear dynamical systems starting from simple t...
A comparison of data mining methods for prediction and classification types of quality problems Anaklı, Zeynep; Anaklı, Zeynep; Department of Industrial Engineering (2009) In this study, an Analytic Network Process (ANP) and Preference Ranking Organization MeTHod for Enrichment Evaluations (PROMETHEE) based approach is developed and used to compare overall performance of some commonly used classification and prediction data mining methods on quality improvement data, according to several decision criteria. Classification and prediction data mining (DM) methods are frequently used in many areas including quality improvement. Previous studies on comparison of performance of the...
Hybrid ranking approaches based on data envelopment analysis and outranking relations Eryılmaz, Utkan; Karasakal, Esra; Department of Industrial Engineering (2006) In this study two different hybrid ranking approaches based on data envelopment analysis and outranking relations for ranking alternatives are proposed. Outranking relations are widely used in Multicriteria Decision Making (MCDM) for ranking the alternatives and appropriate in situations when we have limited information on the preference structure of the decision maker. Yet to apply these methods DM should provide exact values for method parameters (weights, thresholds etc.) as well as basic information suc...

Citation Formats

Z. Asan and H. Ö. Ayhan, “Sampling frame coverage and domain adjustment procedures for internet surveys,” QUALITY & QUANTITY, pp. 3031–3042, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57392.