Comparing Random Sample Q and R Methods for Understanding Natural Resource Attitudes

@inproceedings{Thompson2013ComparingRS,
  title={Comparing Random Sample Q and R Methods for Understanding Natural Resource Attitudes},
  author={Aaron W. Thompson and Sarah L. Dumyahn and Linda Stalker Prokopy and Shannon M. Amberg and Adam Baumgart-Getz and JoElla Jackson-Tyree and Rebecca Perry-Hill and Adam P Reimer and Kimberly D. Robinson and Amber Saylor Mase},
  year={2013}
}
  • Aaron W. Thompson, Sarah L. Dumyahn, +7 authors Amber Saylor Mase
  • Published 2013
  • Computer Science
  • This study collects data on community views of the Wabash River in north-central Indiana using 36 representative statements. The statements were incorporated into two different formats: (1) a standard survey, or Likert-type, instrument and (2) a Q-methodology instrument for mailed distribution to two separate random samples of community residents, which allowed for comparing the results of these methodologies. The data were analyzed using factor analysis techniques. The analysis revealed that… CONTINUE READING

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