241 to 250 of 274 Results
Sep 8, 2020 - Harvard Dataverse
Tien, Charles, 2020, "Replication Data for: 2020 US presidential forecast", https://doi.org/10.7910/DVN/XJVOBX, Harvard Dataverse, V1, UNF:6:CByyMszGsCP9sCWe56tQAA== [fileUNF]
Data for 2020 US presidential forecast. Includes following variables: percent of the two-party popular vote won by incumbent party (pop2pvot); president's Gallup approval rating in July of election year (julypop); percent change in GNP (nonannualized) over the first two quarters of the election year (GNPchan); percent of the Electoral College vote... |
Sep 8, 2020
Unislawa Williams; Robert Brown; Marilyn Davis; Tinaz Pavri; Fatemeh Shafiei, 2020, "Replication Data for: Teaching Data Science in Political Science", https://doi.org/10.7910/DVN/JYIZ73, Harvard Dataverse, V1
The importance of data science in society today is undeniable, and now is the time to prepare data science talent (National Academies 2018). Data science demands collaboration, but collaboration within political science departments has been weak in teaching data science. Bridging substantive and methods courses can critically aid in teaching data s... |
Murr, Andreas; Lewis-Beck, Michael. S., 2020, "Replication Data for: Citizen Forecasting 2020: A State-by-State Experiment", https://doi.org/10.7910/DVN/S1594S, Harvard Dataverse, V2, UNF:6:hJIpcHKyZnL4DBjX7WW7gA== [fileUNF]
The research uses 'citizen forecasts' to predict the US Presidential Election. This approach asks citizens to forecast which presidential candidate will win in their state and the nation as a whole, and predicts the winning candidate to be the one which most citizens say will win. Previous studies have shown that 'citizen forecasts' predict better... |
Aug 28, 2020
Gruca, Thomas S.; Rietz, Thomas A., 2020, "Replication Data for The 2020 (Re)Election According to the Iowa Electronic Markets: Politics, Pandemic, Recession and/or Protests?", https://doi.org/10.7910/DVN/MHUC8C, Harvard Dataverse, V2, UNF:6:AwMjhaalsOT06+IS382J9g== [fileUNF]
Replication Data for The 2020 (Re)Election According to the Iowa Electronic Markets: Politics, Pandemic, Recession and/or Protests? |
Aug 27, 2020
Lockerbie, Brad, 2020, "Replication Data for: Economic Pessimism and Political Punishment in 2020", https://doi.org/10.7910/DVN/A3PNXK, Harvard Dataverse, V1
Forecasting the presidential popular vote and seat change in the House of Representatives. |
Aug 27, 2020
Enns, Peter; Lagodny, Julius, 2020, "Replication Data for: Forecasting the 2020 Electoral College Winner: The State Presidential Approval/State Economy Model", https://doi.org/10.7910/DVN/ADMBN9, Harvard Dataverse, V1, UNF:6:+mvcsYQzLV1YbkOZLx07zQ== [fileUNF]
To forecast the 2020 Electoral College winner, we develop a model of two-party Democratic vote share in each state (plus Washington DC) based primarily on each state's presidential approval ratings and economic conditions. 104 days before the election, our model forecasts about a 4 in 10 chance that Donald Trump is re-elected and about a 6 in 10 ch... |
Aug 26, 2020
Graefe, Andreas, 2020, "Replication Data for: The PollyVote popular vote forecast for the 2020 U.S. Presidential Election", https://doi.org/10.7910/DVN/RLECFV, Harvard Dataverse, V1, UNF:6:ggrLKzhoOwql2UflWnJBVQ== [fileUNF]
Daily popular vote forecasts from the combined PollyVote |
Aug 26, 2020
Simas, Elizabeth, 2020, "Replication Data for: Medicare for All, Some, or None?: Testing the Effects of Ambiguity in the Context of the 2020 Presidential Election", https://doi.org/10.7910/DVN/NAH0FD, Harvard Dataverse, V1, UNF:6:+gE2SqjHzp0VdtBDjdHRoQ== [fileUNF]
Data and commands to replicate all analyses in the manuscript and appendix |
Aug 24, 2020
Propst, Lisa; Robinson, Christopher C., 2020, "Replication Data for: Pandemic Fiction Meets Political Science: A Simulation for Teaching Restorative Justice", https://doi.org/10.7910/DVN/ZHYKSD, Harvard Dataverse, V1, UNF:6:W+kc4kxxdDM8dJPWru7p4Q== [fileUNF]
We team teach an interdisciplinary political science and literature course titled “Violence and Reconciliation,” with case studies on the Truth and Reconciliation Commission (TRC) in South Africa and on debates about whether to develop a TRC in Northern Ireland. The course culminates in a two-week simulation where students role-play the experiences... |
Aug 17, 2020
SHIN, Sangbum, 2020, "Replication Data for: Learning by Creating: Making Games in a Political Science Course", https://doi.org/10.7910/DVN/JCO5EI, Harvard Dataverse, V1, UNF:6:EFHp9qsC6EUTSJSQpz1Cbg== [fileUNF]
This article describes a project-based course titled “International Relations and Games” wherein students were required to make game rules and scenarios using IR concepts, theories, approaches, and topics. While students learned through participation in games and simulations in previous classes, they learned by developing their own games. This, the... |
