Replication Data for: No Evidence that Measuring Moderators Alters Treatment Effects
<|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:'As survey experiments have become more common in political science, so too have efforts to identify who is most responsive to a treatment. By necessity, moderation experiments frequently rely on observed, rather than manipulated moderators, such as partisan identity or racial attitudes. These designs have led to an ongoing debate about where to measure moderators – immediately prior to the treatment, after the treatment, or in a prior wave of a panel survey. Each design choice has its downsides and detractors. Measuring a moderator after the treatment opens the possibility of posttreatment bias. Measuring it prior to the experiment may create priming effects. And panel studies are costly and sometimes infeasible. We contribute to this debate by systematically studying whether measuring moderators prior to an experiment affects the resul' . 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" : ["Moderator","Priming","Survey experiment"]} <|eot_id|>
 Here is the Description of a dataset. Description:'As survey experiments have become more common in political science, so too have efforts to identify who is most responsive to a treatment. By necessity, moderation experiments frequently rely on observed, rather than manipulated moderators, such as partisan identity or racial attitudes. These designs have led to an ongoing debate about where to measure moderators – immediately prior to the treatment, after the treatment, or in a prior wave of a panel survey. Each design choice has its downsides and detractors. Measuring a moderator after the treatment opens the possibility of posttreatment bias. Measuring it prior to the experiment may create priming effects. And panel studies are costly and sometimes infeasible. We contribute to this debate by systematically studying whether measuring moderators prior to an experiment affects the resul' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
As survey experiments have become more common in political science, so too have efforts to identify who is most responsive to a treatment. By necessity, moderation experiments frequently rely on observed, rather than manipulated moderators, such as partisan identity or racial attitudes. These designs have led to an ongoing debate about where to measure moderators – immediately prior to the treatment, after the treatment, or in a prior wave of a panel survey. Each design choice has its downsides and detractors. Measuring a moderator after the treatment opens the possibility of posttreatment bias. Measuring it prior to the experiment may create priming effects. And panel studies are costly and sometimes infeasible. We contribute to this debate by systematically studying whether measuring moderators prior to an experiment affects the resul
Moderator; Priming; Survey experiment