JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 654
Type: Contributed
Date/Time: Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #311168 View Presentation
Title: Reducing Quality Variation Across Countries in an International Survey
Author(s): Laura Alvarez-Rojas*+ and Thomas Krenzke and Leyla Mohadjer
Companies: Westat and Westat and Westat
Keywords: sample design ; sample selection and monitoring ; weighting
Abstract:

Technical standards and guidelines (TSGs) were written for participating countries to follow in the first round of the Programme for the International Assessment of Adult Competencies (PIAAC). A challenge was to reduce the quality variation across the 24 countries involved, while ensuring that the TSGs were adhered to. This became complex since countries were given options to choose their sample design, and to conduct weighting. The sample designs differed in several ways, including the number of selection stages, and the use of a population registry or not. Quality control (QC) forms and files standardized and facilitated the process, prior to, during and after data collection. This presentation gives examples of the QC forms that were implemented, the QC files that were requested, and examples of problems that were caught. Results of this work were considered when making a decision to publish countries' data in an international report.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.