[AISWorld] CfP: AMCIS 2012 Mini-Track: New Approaches to Quantitative Analysis

[Joerg Evermann]

CALL FOR PAPERS-AMCIS 2012
Seattle, Washington
August 9-12, 2012


TRACK: Research Methods

MINI-TRACK: New Approaches to Quantitative Analysis

Quantitative data analysis in the Information Systems discipline has
traditionally been based primarily on the reference disciplines of
psychology and psychometrics. Methods for analyzing experimental data,
such as ANOVA designs, and questionnaire data, such as factor analysis
and structural equation modeling, have been adopted enthusiastically in
the IS literature. However, examining the current literature in
Information Systems, one gets the feeling that much research is being
conducted using these traditional, well-established methods. In
contrast, the psychometrics (and econometrics) areas have developed
novel and increasingly sophisticated methods for data analysis.

This mini-track aims to expand the tool-box of methods available to IS
researchers by offering a forum for presenting conceptual or empirical
papers exploring new approaches to the analysis of quantitative data. In
this mini-track, we seek to explore the use of innovative statistical
methods in IS. For example, latent growth curve models can be used to
model changes over time, as a complement or alternative to the typical
autoregressive model employed in much of IS research. Mixture models and
latent class modelling can be used to identify the presence of
sub-populations within an overall population, which has the potential to
add richness to our understanding of organisational contexts.

This mini-track offers an opportunity to the IS research community to
apply new data analysis methods, and also to seek fresh insights from
existing datasets. The mini-track focus is on illustration and
application of new methods in an IS setting, rather than on
methodological contributions. Papers should focus on illustrating the
strength of new data analysis techniques over traditional techniques
such as linear models (regressions, ANOVA), covariance-based analysis,
factor anaysis, and partial least squares. Comparative studies that show
substantial improvements or differences in results given the same data
set could be used to demonstrate the need and potential impact on our
understanding of IS phenomena. Studies might be based on actual or
simulated data or could be entirely analytic/conceptual, but should have
relevance to the IS context.

TOPICS

Topics of interest include, but are not limited to the following:

• Bayesian statistics
• Bayesian structural equation models
• Mixture modelling
• Latent class modelling
• Latent growth curve modelling
• Non-linear latent variable modelling
• Multilevel modelling
• Tetrad analysis
• Rasch modelling

IMPORTANT DEADLINES

• January 2, 2012: Manuscript Central will start accepting paper
submissions at: http://mc.manuscriptcentral.com/amcis2012
• March 1, 2012: (11:59 PM Pacific time zone): Deadline for paper
submissions
• April 2, 20012: Authors will be notified of acceptances on or about
this date
• April 20, 2012: (11:59 PM Pacific time zone): For accepted papers,
camera ready copy due
• June 12, 2012: Last day for AMCIS 2012 Early Registration
• July 13, 2012: Deadline for making hotel room reservations
• July 24, 2012: Last day for AMCIS 2012 Regular Registration

Instructions for authors and more information about the conference at :
http://amcis2012.aisnet.org/

MINI-TRACK CHAIRS CONTACT INFORMATION:

Joerg Evermann
Faculty of Business Administration
Memorial University of Newfoundland
jevermann at mun.ca

Mary Tate
School of Information Management
Victoria University of Wellington
Mary.tate at vuw.ac.nz


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