CALL FOR PAPERS
Achieving Data Quality in a Statistical Agency :
a Methodological Perspective
October 17-19, 2001
XVIIIth International Symposium on Methodological Issues
Statistics Canada
With its eighteenth annual symposium, Statistics Canada continues its
successful series of conferences on methodological issues, attracting
renowned statisticians, researchers, academics, and data analysts and
others interested in meeting the challenges of a statistical agency.
Symposium 2001 will feature both invited and contributed sessions, and will
provide an ideal forum for exchanging your experiences and knowledge of
methods to achieve data quality. Papers of this conference will be
published in the proceedings of the Symposium.
We invite abstracts of 200 to 300 words for contributed papers. We are
especially interested in papers that present innovative methods to meet the
challenges of data quality, especially from the perspective of data
accuracy. Your abstract (English or French) should include the presenter's
name, affiliation, address, telephone and fax numbers, and e-mail address.
The deadline is December 1, 2000. Send yours to:
Simon Cheung, Symposium 2001 Co-ordinator
16th Floor, R.H. Coats Building, Statistics Canada, Ottawa, Canada, K1A 0T6
E-mail: [EMAIL PROTECTED] Telephone: (613) 951-1482 Fax: (613) 951-3100
The symposium will be held at the Palais des congres in Hull, Quebec, just
minutes away from downtown Ottawa. Examples of possible topics for the
Symposium are listed below.
Registers and Frames: construction and maintenance, coverage and quality
evaluation, dealing with imperfect frames
Sample Design: complex survey redesign, multi-phase sampling, area
sampling, sample rotation, robustness over time, respondent burden,
longitudinal surveys, co-ordinating samples between surveys, sampling rare
or elusive population, RDD sampling, sampling for non-response
Data Collection and Capture: new technologies for quality control of
collection and capture, mixed-mode collection, interviewer effects,
re-interview and response evaluation, measurement errors, cognitive
aspects, questionnaire design, reducing non-response, controlling response
error, selective follow-up, remote sensing, data scanning and recognition,
internet survey
Data Processing: selective editing, graphical editing, macro editing, new
coding and editing technologies, new imputation methods
Estimation: estimation of level, change, trend or complex indices, use of
auxiliary information, weighting, small area methods, model-assisted
methods, combining data across time and space, calibration methods, mass
imputation, variance estimation and in the presence of imputed data,
outliers, use of measurement scales, coherence and integration with
external information, data calendarization and benchmarking, projection and
advance statistics
Data Analysis and Dissemination: analysis of data from complex surveys,
modelling with survey data, quality evaluation, accuracy measurement,
effects of survey errors, impact of disclosure control, communicating data
quality
Sector-specific: censuses, surveys of households, individuals,
institutions, businesses, agriculture, and the environment, price indexes,
system of national accounts
Cross-cutting Issues: survey integration and harmonisation, international
comparisons, derived products, meta-analysis, use of administrative data,
record linkage, statistical matching, time series methods, tools for survey
design and data processing
Visit our Web site: www.statcan.ca/english/services/smnrs.htm
=================================================================
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
http://jse.stat.ncsu.edu/
=================================================================
