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Diane Kuehn Matt Brincka Valerie Luzadis SUNY College of Env. Science and Forestry

Factors influencing fishing participation by bass anglers residing in New York’s Lake Ontario Region. Diane Kuehn Matt Brincka Valerie Luzadis SUNY College of Env. Science and Forestry. Funding provided by NY Sea Grant. Purpose.

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Diane Kuehn Matt Brincka Valerie Luzadis SUNY College of Env. Science and Forestry

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  1. Factors influencing fishing participation by bass anglers residing in New York’s Lake Ontario Region Diane Kuehn Matt Brincka Valerie Luzadis SUNY College of Env. Science and Forestry Funding provided by NY Sea Grant

  2. Purpose • To identify the motivations, constraints, facilitators, and demographics influencing resident bass angler fishing participation.

  3. Theoretical background • Motivations: the “cognitive forces that drive people to achieve particular goal states” (Decker, Brown, & Siemer, 2001). • Constraints: elements that intervene between leisure preferences and participation (Crawford and Godbey, 1987; Henderson, Stalnaker, and Taylor, 1988). • Facilitators: the factors that “enable or promote the formation of leisure preferences and encourage participation” (Raymore, 2002).

  4. Sample • Random sample: • 7,000 property owners from Lake Ontario counties • 1,000 per county • Survey conducted fall, 2009

  5. Questionnaire • Questions included: • Species preference • Demographics & experiential characteristics • Motivations, constraints, facilitators

  6. Survey questions • Motivations • “I go fishing…” • Scale: -2 (strongly disagree) to 0 (neutral) to 2 (strongly agree) • Constraints and facilitators • “Does this factor limit or enable your fishing participation?” • Scale: -2 (greatly limits) to 0 (neutral) to 2 (greatly enables)

  7. Survey questions • Participation • Number of trips each year (2005-2009) • Average calculated • Converted to categories: • 0 = 0 - 2 trips/year • 1 = 2.1 - 5 • 2 = 5.1 – 10 • 3 = 10.1 – 20 • 4 = 20.1 +

  8. Methods • Modified Tailored Design Method used (Dillman, 2007) • Two Confirmatory factor analyses (EQS): • Constraints and facilitators • Motivations • Stepwise linear regression

  9. Response • 5,580 in qualified sample • 1,303 respondents (response rate = 23%): • 681 anglers completed full survey • 165 bass anglers (24% of anglers)

  10. Bass Angler Demographics

  11. Affiliation (0.845) Nature appreciation (0.879) Nurture (0.916) Personal achievement (0.831) Competition (0.881) Success (0.722) Satisfaction with catch (0.880) Escape (0.801) Root Mean-Square Error of Approx. (RMSEA) = 0.05 Comparative Fit Index (CFI) = 0.919 Confirmatory Factor analysis: Motivations (Cronbach’s alpha)

  12. Health/Well-being (0.894) Past experience (0.894) Social support (0.779) Economic costs (0.815) Time (0.831) Access/Equipment (0.883) Level of knowledge (0.844) Level of interest (0.765) Level of commitment (0.822) Perceptions of environment (0.876) RMSEA = 0.048 CFI = 0.896 Confirmatory Factor analysis: Constraints & facilitators (Cronbach’s alpha)

  13. Factor means: Motivations Scale: -2 = strongly disagree, -1 = disagree, 0 = neutral, 1 = agree, 2 = strongly agree

  14. Factor/Variable means: Constraints Scale: -2 = greatly limits, -1 = limits, 0 = neutral, 1 = enables, 2 = greatly enables

  15. Factor/Variable means: Facilitators Scale: -2 = greatly limits, -1 = limits, 0 = neutral, 1 = enables, 2 = greatly enables

  16. Regression R2 = 0.375 F = 14.529 p < .001 n = 127

  17. Summary Motivations: Personal achievement Constraints: None Facilitators: Social support (-) Level of interest Level of commitment Experiential: If the angler fishes with a child

  18. Management implications • Bass anglers are very committed to bass fishing – not as dependent on social support as other angler groups. • Efforts to increase skills, challenge, & interest will likely increase participation. • Family-based fishing events may also increase participation.

  19. Questions? Thanks to New York Sea Grant for funding this study!

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