Replication Data for: A Validation and Extension of State-Level Public Policy Mood: 1956 to 2020
<|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:'Whether we consider policies or elections in the U.S., the states are particularly influential. To understand these political outcomes, we need valid over-time measures of state-level public opinion. In this article, we contribute to the growing research on measuring state public opinion in two ways. First, we respond to Berry, Fording, Hanson, and Crofoot's (BFHC) critique of Enns and Koch's measure of state policy mood. We show that when BFHC's analysis is done correctly, it actually validates the Enns and Koch measure and raises questions about the Berry, Ringquist, Fording, and Hanson (BRFH) measure. Second, we generate a new measure of state policy mood building on Enns and Koch's approach. The new measure adds information to their Multilevel Regression and Poststratification (MRP) model, extends from 1956 to 2020, and includes dat' . 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" : ["Multilevel regression and poststratification","Public opinion","States","Time-series analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Whether we consider policies or elections in the U.S., the states are particularly influential. To understand these political outcomes, we need valid over-time measures of state-level public opinion. In this article, we contribute to the growing research on measuring state public opinion in two ways. First, we respond to Berry, Fording, Hanson, and Crofoot's (BFHC) critique of Enns and Koch's measure of state policy mood. We show that when BFHC's analysis is done correctly, it actually validates the Enns and Koch measure and raises questions about the Berry, Ringquist, Fording, and Hanson (BRFH) measure. Second, we generate a new measure of state policy mood building on Enns and Koch's approach. The new measure adds information to their Multilevel Regression and Poststratification (MRP) model, extends from 1956 to 2020, and includes dat' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Whether we consider policies or elections in the U.S., the states are particularly influential. To understand these political outcomes, we need valid over-time measures of state-level public opinion. In this article, we contribute to the growing research on measuring state public opinion in two ways. First, we respond to Berry, Fording, Hanson, and Crofoot's (BFHC) critique of Enns and Koch's measure of state policy mood. We show that when BFHC's analysis is done correctly, it actually validates the Enns and Koch measure and raises questions about the Berry, Ringquist, Fording, and Hanson (BRFH) measure. Second, we generate a new measure of state policy mood building on Enns and Koch's approach. The new measure adds information to their Multilevel Regression and Poststratification (MRP) model, extends from 1956 to 2020, and includes dat
Multilevel regression and poststratification; Public opinion; States; Time-series analysis