The Journal of Official Statistics (JOS)
in cooperation with the Web Survey Methodology Portal
(http://www.websm.org)
is planning a
Special issue on Web
surveys.
CALL FOR PAPERS
Due date: March 31,
2004
___________________________________________________________________________
SCOPE AND TOPICS: In recent years, a new way of
collecting survey data has come into use: data collection through the World Wide
Web. This innovation has many advantages, but also generates new methodological
challenges. For this special issue we welcome manuscripts on various aspects of
Web survey methodology and application, including (but not restricted to):
·
coverage issues and respondent solicitation
strategies
·
sampling and weighting
issues
·
visual design effects including the use of
multimedia
·
nonresponse issues and participation
patterns
·
measurement errors
·
mode effects and mixed mode surveys
·
Web data collection in special contexts, such as employee
surveys via corporate intranets, etc.
·
questionnaire development and pretesting
methods
·
studies on the utility and effectiveness of Web surveys,
such as cost and benefit issues
·
software reviews and other technological
issues.
JOURNAL INFORMATION: JOS is
a scholarly journal published by Statistics Sweden, the national statistical
office of
SUBMISSION GUIDELINES: Contributions should be submitted
exclusively via email to jos@scb.se,
preferably in MS Word. Detailed guidelines for preparation of a manuscript are
available at the JOS home page. Manuscripts proposed for this special issue
should not have been submitted or published elsewhere. All manuscripts are peer
reviewed and evaluated with respect to quality, significance and clarity of
presentation. Manuscripts should be as concise as possible without loss of
clarity.
To be considered for the
special issue, a submitted manuscript must reach JOS no later than
EDITORIAL COMMITTEE: The special issue is administered by
a guest editorial committee, comprised of the following
members:
·
Dr. Michael Bosnjak
(
·
Dr. Gösta Forsman
(
·
Dr. Annica Isaksson
(
·
Dr. Katja Lozar Manfreda
(
·
Dr. Lars Lyberg (Statistics
Sweden,
·
Dr. Tracy Tuten Ryan
(
·
Dr. Matthias Schonlau
(
The committee members are looking forward to your submission.
**************************************************************
Lozar
Manfreda, Katja, PhD
Assistant Professor
Faculty of Social Science,
University of Ljubljana
Kardeljeva ploscad 5, 1000 Ljubljana, Slovenia
Tel. +386 1 5805 284
Fax. +386
1 5805 101
Email: katja.lozar@uni-lj.si, katja@ris.org
Faculty of Social Sciences: www.fdv.uni-lj.si
Research on Internet in
Slovenija: www.ris.org
Methodology of Web
surveys: www.websm.org