Publications by Year: 2017

2017
Castro E, Crosas M, Garnett A, Sheridan K, Altman M. Evaluating and Promoting Open Data Practices in Open Access Journals. Journal of Scholarly Publishing. 2017;Forthcoming.Abstract
In the last decade there has been a dramatic increase in attention from the scholarly communications and research community to open access (OA) and open data practices. These are potentially related, because journal publication policies and practices both signal disciplinary norms, and provide direct incentives for data sharing and citation. However, there is little research evaluating the data policies of OA journals. In this study, we analyze the state of data policies in open access journals, by employing random sampling of the Directory of Open Access Journals (DOAJ) and Open Journal Systems (OJS) journal directories, and applying a coding framework that integrates both previous studies and emerging taxonomies of data sharing and citation. This study, for the first time, reveals both the low prevalence of data sharing policies and practices in OA journals, which differs from the previous studies of commercial journals’ in specific disciplines.    
jspdraftpreviouslyjcdlijdl.pdf
Magar E, Trelles A, Altman M, McDonald MP. Components of partisan bias originating from single-member districts in multi-party systems: An application to Mexico. Political Geography [Internet]. 2017;57(1):1-12. Publisher's VersionAbstract
We extend the estimation of the components of partisan biasd, undue advantage conferred to some party in the conversion of votes into legislative seats to single-member district systems in the presence of multiple parties. Extant methods to estimate the contributions to partisan bias from malapportionment, boundary delimitations, and turnout are limited to two-party competition. In order to assess the spatial dimension of multi-party elections, we propose an empirical procedure combining three existing approaches: a separation method (Grofman et al. 1997), a multi-party estimation method (King 1990), and Monte Carlo simulations of national elections (Linzer, 2012). We apply the proposed method to the study of recent national lower chamber elections in Mexico. Analysis uncovers systematic turnout-based bias in favor of the former hegemonic ruling party that has been offset by district geography substantively helping one or both other major parties.
1-s2.0-s0962629816302669-main.pdf
Altman M, McDonald MP. Redistricting by Formula: An Ohio Reform Experiment. American Politics Research [Internet]. 2017;Forthcoming. Submitted manuscriptAbstract
We analyze sixty-six Ohio congressional plans produced during the post-2010 census redistricting by the legislature and the public. The public drew many plans submitted for judging in a competition hosted by reform advocates, who awarded a prize to the plan that scored best on a formula composed of four permissive components: compactness, respect for local political boundaries, partisan fairness, and competition. We evaluate how the legislature’s adopted plan compares to these plans on the advocates’ criteria and our alternative set of criteria, which reveals the degree by which the legislature placed partisanship over these other criteria. Our evaluation reveals minimal trade-offs among the components of the overall competition’s scoring criteria, but we caution that the scoring formula may be sensitive to implementation choices among its components. Compared to the legislature’s plan, the reform community can get more of the four criteria they value; importantly, without sacrificing the state’s only African-American opportunity congressional district.
altmanandmcdonald-ohioaprformat_apastyle.pdf