Political Analysis is the official journal of the Society for Political Methodology. We publish articles that provide original and significant advances in the general area of political methodology, including both quantitative and qualitative methodological approaches.
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17,371 to 17,380 of 17,402 Results
throbit3.prg
Feb 15, 2010 - Replication data for: Quantitative Leverage Through Qualitative Knowledge: Augmenting the Statistical Analysis of Complex Causes
Plain Text - 15.1 KB - MD5: 21191547e568eede9b6d12a3e0df6ccb
3. Supplementary Program Files
A Gauss program that runs the simulations that appear in Tables 4 and 5.
trubit1.prg
Feb 15, 2010 - Replication data for: Quantitative Leverage Through Qualitative Knowledge: Augmenting the Statistical Analysis of Complex Causes
Plain Text - 24.1 KB - MD5: 2b9ea711d2858e0c09755d45b1d3edaf
3. Supplementary Program Files
A GAUSS program for comparing the properties of Boolean/partial observability probit with a maximum likelihood implementation of the truncated bivariate probit model
Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis
Feb 15, 2010
Stephen M. Shellman, 2010, "Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis", https://doi.org/10.7910/DVN/M9KLWI, Harvard Dataverse, V1
While many areas of research in political science draw inferences from temporally aggregated data, rarely have researchers explored how temporal aggregation biases parameter estimates. With some notable exceptions (Freeman 1989, Political Analysis 1:61–98; Alt et al. 2001, Political Analysis 9:21–44; Thomas 2002, "Event Data Analysis and Threats fr...
shelman.doc
Feb 15, 2010 - Replication data for: Time Series Intervals and Statistical Inference: The Effects of Temporal Aggregation on Event Data Analysis
MS Word - 375.0 KB - MD5: fde49844c5a337884da2c91e25d918c0
1. Documentation
Time Series Intervals and Statistical Inference: The Affects of Temporal Aggregation on Event Data Analysis
Introduction to the Special Issue
Introduction to the Special Issue
Feb 15, 2010
Gary Cox, 2010, "Introduction to the Special Issue", https://doi.org/10.7910/DVN/U1UBII, Harvard Dataverse, V1
THE SPATIAL MODEL is the workhorse theory of modern legislative studies. Starting as a metaphor common in discussions of mass elections, the model’s basics were developed by Hotelling (1929) and Downs (1957) for use in the electoral arena and by Black (1948a,b) for use in legislative studies.> In both its electoral and its legislative versions, the...
Introduction.pdf
Introduction.pdf
Feb 15, 2010 - Introduction to the Special Issue
Adobe PDF - 38.7 KB - MD5: 02260782870a435a23019fa96923abf2
1. Documentation
Published Article
Replication data for: The Institutionalization of the US Supreme Court
Replication data for: The Institutionalization of the US Supreme Court
Feb 15, 2010
Kevin T. McGuire, 2010, "Replication data for: The Institutionalization of the US Supreme Court", https://doi.org/10.7910/DVN/UCGN7P, Harvard Dataverse, V1
In pursuing their goals, members of the U.S. Supreme Court are affected by their institutional setting. How has that institutional environment changed over time and what have been the political consequences of those changes? Despite considerable analysis of the institutional dynamics of legislatures and executives, political scientists have been sl...
mcguire.pdf
mcguire.pdf
Feb 15, 2010 - Replication data for: The Institutionalization of the US Supreme Court
Adobe PDF - 16.6 KB - MD5: f93d12f982f11927c247e4c3d0f8523f
1. Documentation
APPENDIX Composition of institutionalization
Replication data for: How One Mistake Leads to Another: On the Importance of Verification/Replication
Feb 15, 2010
Artemus Ward, 2010, "Replication data for: How One Mistake Leads to Another: On the Importance of Verification/Replication", https://doi.org/10.7910/DVN/QY1ZU0, Harvard Dataverse, V1
It is impossible to overstate the importance of doing original research based on primary source material in scientific analysis (see, for example, King 1995). Failing to consult primary sources, and by definition relying on secondary sources, can lead to incorrect analyses and mistaken conclusions. An exemplary case is the apparent mystery of wheth...
ward.doc
Feb 15, 2010 - Replication data for: How One Mistake Leads to Another: On the Importance of Verification/Replication
MS Word - 89.0 KB - MD5: c42e00027296d4239ee8a07de2b92ee9
1. Documentation
How One Mistake Leads To Another: On the Importance of Verification/Replication
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