What is he best known for?
The fields of study he is best known for:
- Law
- Statistics
- Social psychology
His primary scientific interests are in Social psychology, Politics, Voter turnout, Get out the vote and Turnout.
His study in Social psychology is interdisciplinary in nature, drawing from both Criminology and Bayesian probability.
His Politics research is multidisciplinary, incorporating elements of Political economy, Econometrics and State.
His Econometrics course of study focuses on p-value and Epistemology.
His research integrates issues of Demographic economics, Public relations, Social pressure, Duty and Norm in his study of Voter turnout.
His work is dedicated to discovering how Get out the vote, Mobilization are connected with Treatment and control groups, Community organization, Mass marketing and Phone and other disciplines.
His most cited work include:
- Promoting an open research culture (1079 citations)
- Redefine statistical significance (993 citations)
- Pathologies of Rational Choice Theory: A Critique of Applications in Political Science (862 citations)
What are the main themes of his work throughout his whole career to date?
Donald P. Green focuses on Politics, Voter turnout, Social psychology, Advertising and Turnout.
The study incorporates disciplines such as Epistemology, Field and Public relations in addition to Politics.
The Get out the vote research Donald P. Green does as part of his general Voter turnout study is frequently linked to other disciplines of science, such as Haven, therefore creating a link between diverse domains of science.
His research in Social psychology intersects with topics in Cognitive psychology, Ethnic group and Causal inference.
In general Advertising study, his work on Direct mail often relates to the realm of Telephone banking, thereby connecting several areas of interest.
His study looks at the intersection of Turnout and topics like Public administration with Mobilization.
He most often published in these fields:
- Politics (19.85%)
- Voter turnout (18.73%)
- Social psychology (18.73%)
What were the highlights of his more recent work (between 2013-2021)?
- Politics (19.85%)
- Social psychology (18.73%)
- Advertising (16.10%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Politics, Social psychology, Advertising, Econometrics and Turnout.
The concepts of his Politics study are interwoven with issues in Legislature, Political economy, Field and Public relations.
His study explores the link between Social psychology and topics such as Random assignment that cross with problems in Ethnic group, Prejudice and Contact hypothesis.
His Econometrics study incorporates themes from Statistics, Randomized experiment and Statistical significance.
Donald P. Green interconnects Context, Presidential system and Demographic economics in the investigation of issues within Turnout.
His work in Presidential system tackles topics such as Voter turnout which are related to areas like Mobilization.
Between 2013 and 2021, his most popular works were:
- Promoting an open research culture (1079 citations)
- Redefine statistical significance (993 citations)
- Get Out the Vote: How to Increase Voter Turnout (493 citations)
In his most recent research, the most cited papers focused on:
- Law
- Statistics
- Social psychology
His main research concerns Politics, Social psychology, Transparency, Advertising and Voting.
His Voter turnout and Voting behavior study in the realm of Politics connects with subjects such as Work.
His research in Voter turnout focuses on subjects like Political economy, which are connected to Law.
His work on Attitude change as part of his general Social psychology study is frequently connected to Panel survey, thereby bridging the divide between different branches of science.
When carried out as part of a general Advertising research project, his work on Advertising campaign is frequently linked to work in Lawn, therefore connecting diverse disciplines of study.
His study of Turnout is a part of Voting.
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