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1 to 10 of 66,066 Results
Jan 17, 2017
Schmidt, Eric, 2017, "Replication Data for: The Influence of Religious-Political Sophistication on U.S. Public Opinion", doi:10.7910/DVN/V9LWUQ, Harvard Dataverse, V1
I provide code for usage in R, to reproduce all tables, figures, and key findings in the working paper. The data is available in .csv form, and can be imported and analyzed in other statistical software programs. Please email me at errschmi@indiana.edu for any questions or clarif...
Jan 17, 2017
Teigen, Jeremy, 2017, "Replication Data for: Density, Race, and Vote Choice in the 2008 and 2012 Presidential Elections", doi:10.7910/DVN/FG5VWO, Harvard Dataverse, V2, UNF:6:efWH82fbPOBWf4vwIDeS7g==
2008 and 2012 CCES data along with population density and demographics at the zipcode level from the 2010 ACS (5-year)
Jan 17, 2017
Sethi, Suresh, 2017, "Big Lake, Alaska Shapefiles: Stream Network, Lakes, and Culverts", doi:10.7910/DVN/AFIMSI, Harvard Dataverse, V1
Shapefiles used in the optimization model presented in "High value of ecological information for river connectivity restoration" (Sethi et al.) In Review. Abstract: Efficient restoration of longitudinal river connectivity necessitates the use of sophisticated planning tools to ma...
Jan 17, 2017ICRAF data Central America Dataverse
Information from a series of studies carried on in the Nicaragua-Honduras Sentinel Landscape to generate evidence trees on farms presence (e.i. diversity, tree products) and contribution to ecosystem services, food security and livelihoods for family farming systems. More informa...
Jan 17, 2017 - Political Science Research and Methods (PSRM) Dataverse
Fariss, Christopher; Jones, Zachary, 2017, "Enhancing Validity in Observational Settings When Replication is Not Possible", doi:10.7910/DVN/O2BK85, Harvard Dataverse, V1
We argue that political scientists can provide additional evidence for the predictive validity of observational and quasi-experimental research designs by minimizing the expected prediction error or generalization error of their empirical models. For observational and quasi-exper...
Jan 17, 2017 - Political Science Research and Methods (PSRM) Dataverse
Indridason, Indridi; Williams, Brian, 2017, "Replication Data for Luck of the Draw? Members’ Bills & the Electoral Connection", doi:10.7910/DVN/EYVIDZ, Harvard Dataverse, V1
The legislative agenda in most parliamentary systems is controlled tightly by the government and bills offered by individual members of parliament have low rates of success. Yet, MPs do seek to present (private) members’ bills even where the rate of adoption is very low. We argue...
Jan 17, 2017 - Nick Petrovsky Dataverse
Boyne, George A.; James, Oliver; John, Peter; Petrovsky, Nicolai, 2017, "Replication Data for: Boyne/James/John/Petrovsky (2009 JOP): Democracy and Government Performance: Holding Incumbents Accountable in English Local Governments", doi:10.7910/DVN/C4MCXH, Harvard Dataverse, V1, UNF:6:013P8ed+4tNpn2EkfFPIfw==
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2009. "Democracy and Government Performance: Holding Incumbents Accountable in English Local Governments." Journal of Politics 71 (4): 1273-1284.
Jan 17, 2017 - Nick Petrovsky Dataverse
Boyne, George A.; James, Oliver; John, Peter; Petrovsky, Nicolai, 2017, "Replication Data for: Boyne/James/John/Petrovsky (2010 JPART): Does Public Service Performance Affect Top Management Turnover?", doi:10.7910/DVN/DIKGTL, Harvard Dataverse, V1, UNF:6:013P8ed+4tNpn2EkfFPIfw==
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2010. "Does Public Service Performance Affect Top Management Turnover?" Journal of Public Administration Research and Theory 20 (suppl. 2): i261-i279.
Jan 17, 2017 - Nick Petrovsky Dataverse
Boyne, George A.; James, Oliver; John, Peter; Petrovsky, Nicolai, 2017, "Replication Data for: Boyne/James/John/Petrovsky (2011 PAR): Top Management Turnover and Organizational Performance: A Test of a Contingency Model", doi:10.7910/DVN/4EWM5K, Harvard Dataverse, V1, UNF:6:013P8ed+4tNpn2EkfFPIfw==
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2011. "Top Management Turnover and Organizational Performance: A Test of a Contingency Model." Public Administration Review 71 (4): 572-581.
Jan 17, 2017 - Nick Petrovsky Dataverse
Boyne, George A.; James, Oliver; John, Peter; Petrovsky, Nicolai, 2017, "Replication Data for: Boyne/James/John/Petrovsky (2011 PM&M): Leadership Succession and Organisational Success: When Do New Chief Executives Make a Difference?", doi:10.7910/DVN/9A2JLD, Harvard Dataverse, V1, UNF:6:013P8ed+4tNpn2EkfFPIfw==
Data and code for: Boyne, George A., Oliver James, Peter John, and Nicolai Petrovsky. 2011. "Leadership Succession and Organisational Success: When Do New Chief Executives Make a Difference?" Public Money & Management 31 (5): 339-346.
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