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The Louisiana Community Oil Spill Survey (Coss) Dataset, Michael R. Cope, Tim Slack, Troy C. Blanchard, Matthew R. Lee, Jorden E. Jackson
The Louisiana Community Oil Spill Survey (Coss) Dataset, Michael R. Cope, Tim Slack, Troy C. Blanchard, Matthew R. Lee, Jorden E. Jackson
Faculty Publications
This article presents an overview of the Louisiana Community Oil Spill Survey (COSS), the dataset used in “Community Sentiment following the Deepwater Horizon Oil Spill Disaster: A Test of Time, Systemic Community, and Corrosive Community Models” [1] as well as elsewhere [2–6]. The COSS, administered by the Louisiana State University's Public Policy Research Laboratory, consists of five waves of cross-sectional trend data attuned to the characteristics and effects of the 2010 BP Deepwater Horizon (BP-DH) oil spill on those coastal Louisiana residents most affected by the disaster. Respondents were randomly drawn from a list of nearly 6,000 households in the …
Community Sentiment Following The Deepwater Horizon Oil Spill Disaster: A Test Of Time, Systemic Community, And Corrosive Community Models, Michael R. Cope, Tim Slack, Jorden E. Jackson, Vanessa Parks
Community Sentiment Following The Deepwater Horizon Oil Spill Disaster: A Test Of Time, Systemic Community, And Corrosive Community Models, Michael R. Cope, Tim Slack, Jorden E. Jackson, Vanessa Parks
Faculty Publications
A fundamental concern in the social science scholarship on disasters is understanding community impacts and recovery as a social process. This study examines community sentiment in the aftermath 2010 BP Deepwater Horizon oil spill (DHOS), including the influence of time and the explanatory utility of two major theoretical perspectives—the systemic community model and the corrosive community model—in predicting community sentiment in the context of this disaster. Specifically, our objectives are to assess how community sentiment in the wake of the DHOS: 1) changes over time; 2) is related to the systemic model; and 3) is related to the corrosive model. …