Add to ORKGThis comment uses the Democratic Party's nomination race from the 1924 U.S. Presidential election to develop a better understanding of Armstrong and Graefe's (2010) Biographical Index. Well-established causal indicators are necessary before actions are taken to nominate, select, or improve the standing of candidates running for election. Forecasting devices such as a Biographical Index cannot eliminate from consideration unworthy candidates. Nonetheless, the Armstrong and Graefe scale appears to have the smallest error of competing forecasting devices.Forecasting Biographical Index Elections Democratic Party William Gibbs McAdoo
When deciding for whom to vote, voters should select the candidate they expect to best handle issues...
Prior research found that people\u27s assessments of relative competence predicted the outcome of Se...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...
Abstract. Traditional election forecasting models are estimated from time-series data on relevant va...
We used 59 biographical variables to create a “bio-index ” for forecasting U.S. presidential electio...
Using the index method, we developed the PollyBio model to predict election outcomes. The model, bas...
We used 59 biographical variables to create a “bio-index” for forecasting U.S. presidential election...
This paper summarizes the key conditions under which the index method is valuable for forecasting an...
Lichtman (2005) reports that the Keys model has been able to pick the winner of every presidential e...
As the 2016 election season rolls on, it is looking increasingly likely that former Secretary of Sta...
Abstract: We used the index method to predict U.S. presidential election winners based on issues pol...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
This paper summarizes the key conditions under which the index method is valuable for forecasting an...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
Predicting Elections from Politicians ' Faces Prior research found that people's assessmen...
When deciding for whom to vote, voters should select the candidate they expect to best handle issues...
Prior research found that people\u27s assessments of relative competence predicted the outcome of Se...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...
Abstract. Traditional election forecasting models are estimated from time-series data on relevant va...
We used 59 biographical variables to create a “bio-index ” for forecasting U.S. presidential electio...
Using the index method, we developed the PollyBio model to predict election outcomes. The model, bas...
We used 59 biographical variables to create a “bio-index” for forecasting U.S. presidential election...
This paper summarizes the key conditions under which the index method is valuable for forecasting an...
Lichtman (2005) reports that the Keys model has been able to pick the winner of every presidential e...
As the 2016 election season rolls on, it is looking increasingly likely that former Secretary of Sta...
Abstract: We used the index method to predict U.S. presidential election winners based on issues pol...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
This paper summarizes the key conditions under which the index method is valuable for forecasting an...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
Predicting Elections from Politicians ' Faces Prior research found that people's assessmen...
When deciding for whom to vote, voters should select the candidate they expect to best handle issues...
Prior research found that people\u27s assessments of relative competence predicted the outcome of Se...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...