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Sampling Considerations for Volunteered Data from Recreational Fisheries

Sampling Considerations for Volunteered Data from Recreational Fisheries. Cynthia M. Jones Director, Center for Quantitative Fisheries Ecology Old Dominion University. Objectives of the Talk. Discuss fundamental issues concerning angler-survey method choice

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Sampling Considerations for Volunteered Data from Recreational Fisheries

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  1. Sampling Considerations for Volunteered Data from Recreational Fisheries Cynthia M. Jones Director, Center for Quantitative Fisheries Ecology Old Dominion University

  2. Objectives of the Talk • Discuss fundamental issues concerning angler-survey method choice • Discuss strengths and weakness in volunteered data

  3. Discuss fundamental issues concerning angler-survey method choice

  4. Target Population Errors Examples Telephone: License list exemptions & illegals Access site: Private property angler excluded Coverage error Sampling Frame Telephone: Sample size too small or misses an important subpopulation Access site: Night fishing is not accounted for; subjective selection of access site Sampling error Sample Telephone: Unable to reach by telephone Access site: Unwilling to be interviewed Nonresponse error Respondents Unequal probability selection not readjusted in survey estimates Adjustment error Postsurvey Adjustments Survey Statistic

  5. Sampling Frames and Coverage Telephone Private Property Licensed Access Site Public Access Licensed Public Access Unlicensed

  6. Undercoverage By RDD Anglers without phones or With cells & non-coastal area codes Overcoverage By RDD Random Dialing to coastal area codes (Landline and Cell) Anglers with coastal area codes (Landline and cell)

  7. Compare strengths and weakness

  8. Recreational Anglers Anglers who are aware of diary program Anglers who respond to diary request

  9. There is no perfect survey • Major Tradeoffs • quality of available sampling frames • budget

  10. Define objectives Choose angler survey method(s) Choose sampling Frame Pre-Survey Tasks Design and select sample Train survey samplers Design data collection Implement survey Quality control implementation Survey agents taking data by phone or in field Code, enter, and edit data Survey supervisor checking agents’ work Use of field-hardened computers or CATI Make adjustments Adjust for probability-based sampling Perform analysis Use of validated computer programs

  11. QUESTIONS AND DISCUSSION

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