Replication Data for: Lost in Aggregation: Improving Event Analysis with Report-Level Data
<|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:'Most measures of social conflict processes are derived from primary and secondary source reports. In many cases, reports are used to create event-level data sets by aggregating information from multiple, and often conflicting, reports to single event observations. We argue this pre-aggregation is less innocuous than it seems, costing applied researchers opportunities for improved inference. First, researchers cannot evaluate the consequences of different methods of report aggregation. Second, aggregation discards report-level information (i.e., variation across reports) that is useful in addressing measurement error inherent in event data. Therefore, we advocate that data should be supplied and analyzed at the report level. We demonstrate the consequences of using aggregated event data as a predictor or outcome variable, and how analysi' . 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" : ["Conflict processes","Event data","Measurement error","Media reports"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Most measures of social conflict processes are derived from primary and secondary source reports. In many cases, reports are used to create event-level data sets by aggregating information from multiple, and often conflicting, reports to single event observations. We argue this pre-aggregation is less innocuous than it seems, costing applied researchers opportunities for improved inference. First, researchers cannot evaluate the consequences of different methods of report aggregation. Second, aggregation discards report-level information (i.e., variation across reports) that is useful in addressing measurement error inherent in event data. Therefore, we advocate that data should be supplied and analyzed at the report level. We demonstrate the consequences of using aggregated event data as a predictor or outcome variable, and how analysi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Most measures of social conflict processes are derived from primary and secondary source reports. In many cases, reports are used to create event-level data sets by aggregating information from multiple, and often conflicting, reports to single event observations. We argue this pre-aggregation is less innocuous than it seems, costing applied researchers opportunities for improved inference. First, researchers cannot evaluate the consequences of different methods of report aggregation. Second, aggregation discards report-level information (i.e., variation across reports) that is useful in addressing measurement error inherent in event data. Therefore, we advocate that data should be supplied and analyzed at the report level. We demonstrate the consequences of using aggregated event data as a predictor or outcome variable, and how analysi
Conflict processes; Event data; Measurement error; Media reports