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Track Co-Chairs
Wynne Chin (University of
Houston, USA)
David Gefen (Drexel University,
USA)
Description
This
track welcome papers on the application of quantitative statistical tools
and the analysis of their current and possible use as it pertains
specifically to IS research. Submissions are invited dealing with topics
such as methods in LISREL, PLS, ROC, linear regression methods, and so on,
and matters of measurement such as formative versus reflective constructs,
unidimensionality, sample selection biases, and so on.
The track is not about
statistical techniques per se. The track is not about epistemology or
philosophy of science. These questions are covered by the “Epistemological
and Philosophical Issues in Information Systems” track which is headed by
Emmanuel Monod. The usual high ICIS standards will apply.
IS research has recognized
the importance of quality research and of the central part statistics plays
in it. Much research discussing current practices how to improve them have
been published in IS journals in recent years. In this vein, this track is
about encouraging this debate and offering researches a platform on which to
suggest, present, and test their ideas. Research submitted to this track
should look to Carte and
Russell
MISQ
2003 and to
Lee and Baskerville ISR 2003 as
examples of what the track is seeking.
Research submitted to this track might, for example
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Critically review and
evaluate current practices in statistical analysis in IS research
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Discuss problems with
sample size and violation of distribution assumptions
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Suggest new methods of
statistical analysis which might be of particular interest to IS
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Discuss if variance
analysis the right type of analysis
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Discuss how to apply
manipulation checks
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Advances in classical
measurement theory which might be of particular interest to IS
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Is IS stagnating by
stressing too much the need for large samples?
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Do we need more creative
research methods, rather than rely so much on surveys.
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Common methods bias in IS
research and new ways to test it.
- Should there be more
experimental methods like Web experiments, for instance
Associate Editors (A-Z)
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Michel Benaroch
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Traci A. Carte
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