<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.001</i>; *** <i>0.0001</i>).</p
In this paper a procedure is developed to derive the predictive density function of a future observa...
This dataverse contains code and data to replicate the results in Jonathan P. Kastellec, Andrew Gelm...
To date, most congressional scholars have relied upon a standard model of American electoral behavio...
<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.00...
The Democrats' victory in the 2006 election has been compared to the Republicans' in 2004. But the D...
This thesis uses quantitative methods to analyze the relationships between incumbent electoral resul...
Utilizing information on House elections from 1974-2004, predictions for the outcome of the 2006 Hou...
The results of the presidential election in the United States in 2020 desire a detailed statistical ...
<p>Multinominal logistic regression models predicting present-day voting intention.</p
<p>Results of logistic regression analyses predicting voting behavior from explicit (EA) and implici...
Using data on elections to the United States House of Representatives (1946-1998), this paper exploi...
Recent research finds that naive survey participants ’ rapid evaluations of the facial competence of...
<p>Estimate intercept (.58) is the detection rate for 0 confidence, 0 agreement level, females and o...
Atkinson, Matthew D., Ryan D. Enos and Seth J. Hill. 2009. “Candidate Faces and Election Outcomes: ...
Estimates vote functions for presidential, House and Senate elections following the premise that vot...
In this paper a procedure is developed to derive the predictive density function of a future observa...
This dataverse contains code and data to replicate the results in Jonathan P. Kastellec, Andrew Gelm...
To date, most congressional scholars have relied upon a standard model of American electoral behavio...
<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.00...
The Democrats' victory in the 2006 election has been compared to the Republicans' in 2004. But the D...
This thesis uses quantitative methods to analyze the relationships between incumbent electoral resul...
Utilizing information on House elections from 1974-2004, predictions for the outcome of the 2006 Hou...
The results of the presidential election in the United States in 2020 desire a detailed statistical ...
<p>Multinominal logistic regression models predicting present-day voting intention.</p
<p>Results of logistic regression analyses predicting voting behavior from explicit (EA) and implici...
Using data on elections to the United States House of Representatives (1946-1998), this paper exploi...
Recent research finds that naive survey participants ’ rapid evaluations of the facial competence of...
<p>Estimate intercept (.58) is the detection rate for 0 confidence, 0 agreement level, females and o...
Atkinson, Matthew D., Ryan D. Enos and Seth J. Hill. 2009. “Candidate Faces and Election Outcomes: ...
Estimates vote functions for presidential, House and Senate elections following the premise that vot...
In this paper a procedure is developed to derive the predictive density function of a future observa...
This dataverse contains code and data to replicate the results in Jonathan P. Kastellec, Andrew Gelm...
To date, most congressional scholars have relied upon a standard model of American electoral behavio...
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