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Longitudinal Social Science Research in Natural Resource Communities: Lessons and Considerations Public Deposited

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  • The majority of social science research is cross-sectional in nature, with data collected at a single point in time. However, social systems are dynamic and many of the variables of interest to social scientists may change over time. Longitudinal research methods enable data collection at two or more points in time among a population of interest to examine change in measured variables and influencing factors. Despite the opportunities it affords, longitudinal research is relatively uncommon in natural-resource-based social science research as compared to other fields (e.g., medical, criminal, education). We feel that the field of natural resource social science is ripe for a proliferation of longitudinal studies, now that a substantial body of cross-sectional data has been built. In the spirit of encouraging more of this type of research, we draw on our collective experiences in longitudinal studies to share lessons learned in research design, sampling, and data management.
  • This is the publisher’s final pdf. The published article is copyrighted by Taylor & Francis and can be found at: http://www.tandfonline.com/loi/usnr20#.VFesRmOwV-I
  • Keywords: natural resource social science, longitudinal research, lessons learned
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  • Stidham, M., Olsen, C., Toman, E., Frederick, S., McCaffrey, S., & Shindler, B. (2014). Longitudinal Social Science Research in Natural Resource Communities: Lessons and Considerations. Society & Natural Resources, 27(10), 1104-1108. doi:10.1080/08941920.2014.905895
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  • 27
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  • 10
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