Replication Data for: 'How Partisanship and Sexism Influence Voters’ Reactions to #MeToo Scandals'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This provides replication data and R code for 'How Partisanship and Sexism Influence Voters’ Reactions to #MeToo Scandals' to be published in Research & Politics. Please review the readme.pdf file for a description of the replication materials.Abstract: Influential theories of motivated reasoning, as well as real-world anecdotal examples, would suggest that voters do not always penalize legislators from their own party for alleged immoral behavior, such as sexual harassment. But very little empirical evidence exists on how voters react to sexual misconduct allegations, especially since the start of the #MeToo movement. We examine how partisanship and sexist attitudes shape individuals’ reactions to sexual harassment allegations about a politician. Using a pretest-posttest online experiment, we randomize both the party affiliation of' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["partisanship","sexual harassment","survey experiment"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This provides replication data and R code for 'How Partisanship and Sexism Influence Voters’ Reactions to #MeToo Scandals' to be published in Research & Politics. Please review the readme.pdf file for a description of the replication materials.Abstract: Influential theories of motivated reasoning, as well as real-world anecdotal examples, would suggest that voters do not always penalize legislators from their own party for alleged immoral behavior, such as sexual harassment. But very little empirical evidence exists on how voters react to sexual misconduct allegations, especially since the start of the #MeToo movement. We examine how partisanship and sexist attitudes shape individuals’ reactions to sexual harassment allegations about a politician. Using a pretest-posttest online experiment, we randomize both the party affiliation of' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This provides replication data and R code for 'How Partisanship and Sexism Influence Voters’ Reactions to #MeToo Scandals' to be published in Research & Politics. Please review the readme.pdf file for a description of the replication materials.Abstract: Influential theories of motivated reasoning, as well as real-world anecdotal examples, would suggest that voters do not always penalize legislators from their own party for alleged immoral behavior, such as sexual harassment. But very little empirical evidence exists on how voters react to sexual misconduct allegations, especially since the start of the #MeToo movement. We examine how partisanship and sexist attitudes shape individuals’ reactions to sexual harassment allegations about a politician. Using a pretest-posttest online experiment, we randomize both the party affiliation of
partisanship; sexual harassment; survey experiment