We would like to acknowledge the generous help from the fire management community in the Southwest for its participation and cooperation in this research project. We would also like to thank Dr. Ben Orlove and three anonymous reviewers for their insightful recommendations. Our work was supported by the National Oceanic and Atmospheric Administration’s Climate Program Office through Grant NA07OAR4310382 with the Climate Assessment for the Southwest program at The University of Arizona.
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Using a Pearson’s chi-square test, we found a statistically significant difference between the ratios of people to products named as trustworthy information sources across the five categories of information, at the 95% confidence level.
Using a Pearson’s chi-square test, we found a statistically significant relationship between the source of information (a person vs a product) and the seasonal timing (preseason vs peak season), at the 95% confidence level.
A factional network analysis is a tool in UCINET that divides the network into factions, or subgroups.