IASS
COURSES
The IASS is regularly offering a number of short
courses and workshops at the bi-annual meetings of the IASS (and ISI) and in
other events.
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The following is a description of the Short
Courses that IASS will offer prior to the start of the 58th
World Statistics Congress of the ISI in Dublin.
For additional information or any questions, please contact Leyla Mohadjer
at leylamohadjer@westat.com. |
1. Introduction to Survey Sampling
Instructors: Steven Heeringa, University of Michigan Institute for Social
Research; Colm O’Muircheartaigh, the University of Chicago and National
Opinion Research Center (NORC).
Draft Description: The workshop is intended to provide an overview of
principles of sample design selection and estimation. It will start from
basic principles of sample design and selection beginning with simple random
sampling, and build up to complex stratified multi-stage sample designs. It
will cover the main sampling techniques and also discuss such issues as
sampling frames and weighting. An introduction to variance estimation for
complex sample designs will be presented at the end of the workshop.
Duration: Two days.
2. Analysis of Complex Sample Survey Data
Instructors: Jay Breidt, Colorado State University; Kirk Wolter, NORC.
Draft Description: Estimation procedures appropriate for data collected
under complex survey designs will be discussed. The first part of the course
will cover estimation and variance estimation for standard statistics, such
as means, ratios, domain totals, and the entries in two-way tables. The use
of survey data for the estimation of the parameters of statistical models is
the focus of the second part of the course. Emphasis will be placed on
efficient estimation of the parameters of regression models.
Duration: Two days.
3. Introduction to Survey Quality
Instructors: Paul Biemer, RTI International and the University of North
Carolina—Chapel Hill; Lars Lyberg, Statistics Sweden.
Draft Description: The course spans a range of topics dealing with the
quality of survey data. It begins with a discussion of dimensions of survey
quality which include accuracy, relevance, timeliness, accessibility, and
comparability. We describe an approach to maximizing survey quality in which
total survey error is minimized subject to constraints on costs after
accommodating the other quality dimensions. The major components of total
survey error include: nonresponse error, frame error, measurement error,
specification error, data processing error, and file preparation error. We
describe a set of principles for evaluating these major error sources and
for deploying survey resources optimally to reduce their effects on survey
estimates – an approach embodied in the so-called total survey error
paradigm. The TSE paradigm considers the origins of each error source (i.e.,
its root causes) and applies the most effective methods for reducing or
controlling the errors under costs and quality constraints. Methods for
evaluating survey error such as cognitive interviewing, pretesting, behavior
coding, re-interview surveys and administrative records checks are also
covered. The course reviews well-established as well as recently developed
methods and concepts in the field. It also examines important issues that
are still unresolved today and which are being actively pursued in the
current survey methods literature. The course concludes with a discussion of
the practical advise for designing and conducting surveys that consistently
achieve near optimal levels of survey quality.
Duration: Two days.
4. Web Survey Design
Instructor: Mick P. Couper, University of Michigan Institute for Social
Research, and the Joint Program in Survey Methodology at the University of
Maryland.
Description: The course will focus on the design of web survey instruments
and procedures based on theories of human-computer interaction, interface
design, and research on self-administered questionnaires and computer
assisted interviewing. The course will cover various aspects of instrument
design for Web surveys, including the appropriate use of widgets (e.g.,
radio buttons, check boxes) for Web surveys, general formatting and layout
issues, movement through the instrument (action buttons, navigation, error
messages), and so on. The course will draw on empirical results from
experiments on alternative design approaches as well as practical experience
in the design and implementation of web surveys. The course will not address
the technical aspects of web survey implementation, such as hardware,
software or programming. The course will also not focus on question wording
or sampling issues for Web surveys. The course will have a strong practical
emphasis, examining many different examples of good and bad design, with
recommendations for best practice.
Duration: One day.
5. Methods for Longitudinal Surveys
Instructor: Peter Lynn, Institute for Social and Economic Research (ISER)
University of Essex
Draft Description: Introduce participants to issues which are specific to
longitudinal and panel surveys, including topics in sample design, survey
design, instrument design, weighting and imputation. The course would give
an overview of the strengths and weaknesses of longitudinal surveys and an
outline of key considerations in the design and implementation of such
surveys.
Duration: one/ two days.
6. Workshop on Editing and Imputation of Survey Data
Instructors: John Kovar, Eric Rancourt, and Jean-Francois Beaumont,
Statistics Canada.
Draft Description: Surveys and censuses conducted by national statistical
agencies, research institutes and other survey organizations suffer from
various degrees of nonresponse even under ideal conditions. In order to try
to alleviate the problems caused by nonresponse, editing and imputation
methods are usually applied. Since the process of editing and imputation is
time and resource intensive, care must be exercised in controlling the
efficiency as well as the effectiveness of the methods. The aim of this
short course is to introduce the students to methods of nonresponse
prevention and the treatment of suspicious, inconsistent and missing
responses. Evaluation of such methods and their impact on the survey outputs
will be highlighted. Examples will be provided to illustrate the material
presented.
Duration: One and half days.
7. Business Survey Methods
Instructors: Mike Hidiroglou, and Wesley Yung, Statistics Canada
Draft Description: Business surveys are important sources of information for
producing key economic indicators that monitor the economy over time and for
constructing official statistics such as national accounts. While business
surveys typically use simple sample designs they are not without their
methodological challenges such as highly skewed and unstable populations,
the quality of frame information and auxiliary data used in stratification,
editing, imputation and estimation. This workshop will describe methods for
designing business surveys and will cover topics such as building and
maintaining a Business Register, sample design, data collection, outlier
detection and treatment, imputing for total and/or partial non-response,
weighting and estimation and use of administrative data.
Duration: Two days.
IASS Short Courses at the 57th
ISI Session, Durban 2009
Course 1: Business Survey Design
Course 2: Editing and Imputation of Survey Data
Course 3: Introduction to Survey Sampling
Course 4: Analysis of Complex Sample Survey Data
Course 5: Introduction to Survey Quality
Course 6: Small Area Estimation Methods, Applications and Practical
Demonstration
Course 7: Seasonal Adjustment
IASS Short Courses at the 56th
ISI Session, Lisbon 2007
A: Workshop on Survey Sampling, 18-20 August, presented by: Colm
O’Muircheartaigh and Steven Heeringa. 33 participants.
B: Variance Estimation in Complex Surveys, 20-22 August, presented by: Wayne
Fuller, Kirk Wolter, F. Jay Breidt, and Anthony An. 23 participants.
C: Workshop on Editing and Imputation of Survey Data, 21-22 August,
presented by: John G. Kovar and Eric Rancourt. 31 participants.
D: Introduction to Survey Quality, 20-22 August, presented by: Paul Biemer
and Lars Lyberg. 37 participants.
E: Statistical Disclosure Control, 30-31 August, presented by: Anco
Hundepool, Eric Schulte Nordholt and Peter-Paul de Wolf. 11 participants.
F: Design and Analysis of Repeated Surveys, 30-31 August, presented by:
David Steel and Craig McLaren. 23 participants.
IASS Short Courses at the 55th
ISI Session, Sydney 2005
A: Workshop on
Survey Sampling, 1-3 April, presented by: Graham Kalton (Westat); Steven
Heeringa (Survey Research Center, University of Michigan). 21 participants
B: Variance
Estimation in Complex Surveys, 3-5 April, presented by: Wayne Fuller
(Iowa State University); Kirk Wolter (University of Chicago); F. Jay Breidt
(Colorado State University); Anthony An (SAS Institute). 19 participants
C: Workshop on
Editing and Imputation of Survey Data, 4-5 April, presented by: John G.
Kovar (Statistics Canada); Eric Rancourt (Statistics Canada). 42 participants
D: Introduction to
Survey Quality, 3-5 April, presented by: Paul Biemer (RTI International
and University of North Carolina); Lars Lyberg (Statistics Sweden). 18
participants
E: Statistical
Disclosure Control, 13-14 April, presented by: Eric Schulte Nordholt
(Statistics Netherlands); Peter-Paul de Wolf (Statistics Netherlands). 18
participants
F: Design and
Analysis of Repeated Surveys, 13-14 April, presented by: David Steel
(University of Wollongong); Craig McLaren (Australian Bureau of Statistics). 23
participants
ISI 2003 in Berlin:
A. Workshop on Survey Sampling, held on
August 9, 10 and 11, 2003, and pre-sented by Graham Kalton (Westat) and Steven
Heeringa (The Statistical Design Unit at the Survey Research Center, University
of Michigan); 37 students registered for the course.
B. Variance Estimation in Complex Surveys,
held on August 12 and 13, 2003, and presented by Wayne Fuller (Iowa State
University), Kirk Wolter (NORC), F. Jay Breidt (Iowa State University), and
Anthony An (SAS Institute); 28 students registered for the course.
C. Introduction to Small Area Estimation,
held on August 12 and 13, 2003 and presented by J.N.K. Rao (Carleton
University); 33 students registered for the course.
D. Editing and Imputation of Survey Data,
held on August 21 and 22, 2003 and presented by John G. Kovar (Statistics
Canada) and Eric Rancourt (Statistics Canada); 34 students registered for the
course.
E. Business Survey Methods, held on
August 11 and 12, 2003 and presented by Mike Hidiroglou (Statistics Canada) and
David Binder (Statistics Canada); 30 students registered for the course.
F. Designing the Optimal Questionnaire,
held on August 12 and 13, 2003 and presented by Edith de Leeuw
(MethodikA/Utrecht University, The Netherlands) and Don Dillman (The Social and
Economic Sciences Research Center, Washington State University; 34 students
registered for the course.
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