I am pleased to announce that two articles published in Political
Analysis were selected for the 100 Seminal Papers from the last 100
years of journal publishing by Oxford University Press.
The publisher of Political Analysis, Oxford University Press, is
celebrating its centenary as a publisher of journals by publishing a
collection of 100 seminal papers selected from over 180 journals that
they publish.
The two winners and the rationale for their selection are:
1) Andrew D. Martin and Kevin M. Quinn
Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the
US. Supreme Court, 1953-1999 (2002)
Martin & Quinn address a crucial question - the estimation of policy
preferences of political elites. Many theories in political science
can't be tested without knowledge of the policy preferences of
decision-makers. Martin & Quinns' technique allows scholars to
explore how an individual justice's preferences change over time as
well as how justices differ from one another at a given point in
time. This method could be applied to a range of political actors at
various levels of the courts and legislators at the state and
national level. Although the article was published recently, it has
already had an impact on others' work: with a total of 27 citations,
it is the second most cited article in the journal's history. Because
of the broad interest in this article and the high citation counts,
it will continue to be influential for years to come.
2) David W. Nickerson
Scalable Protocols Offer Efficient Design for Field Experiments (2005)
This article will have a significant impact on field experimentation.
It outlines a way of designing protocols that are scalable to respond
to contingencies in the field, providing both inferential and
practical benefits. The article has been in print for less than a
year, so a citation count cannot provide a measure of its importance.
An indicator of its quality is that it was awarded the Warren E.
Miller prize for the best paper published by Political Analysis in
2005. It warrants inclusion as one the 100 best for three reasons.
First, it applies broadly to scholars of social research in all
areas. Second, it explains the trade-offs from making different
choices in the design of field experiments, thereby allowing scholars
to consider the best approach for them. Finally, it provides a unique
approach to help researchers design cost-effective field experiments.
Nickerson addresses both the scholarly and practical concerns of
field experimenters, and in doing so is likely to draw additional
scholars to this important research approach.
Please join me in congratulating them and click here to read
more:
<http://www.oxfordjournals.org/news/centenary#Political%20Analysis>http://www.oxfordjournals.org/news/centenary#Political%20Analysis
Finally, I would like to thank the nominating committee of Cherie
Maestas (chair), David Darmofal, and Tobin Grant.
Cheers, Jan
Janet M. Box-Steffensmeier, Vernal Riffe Professor of Political Science
Professor of Sociology
Director of the Program in Statistical Methodology
Mailing address: Department of Political Science
Ohio State University
2140 Derby Hall, 154 N. Oval Mall
Columbus, OH 43210-1373
Phone: (614) 292-9642
Fax: (614) 292-1146
Location: 2049S Derby Hall
E-mail: [log in to unmask]
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