SUPPORTING STATEMENT
WEST COAST SWORDFISH FISHERY COST AND EARNINGS SURVEY
OMB CONTROL NO. 0648-XXXX
B. COLLECTIONS OF INFORMATION EMPLOYING STATISTICAL METHODS
1. Describe (including a numerical estimate) the potential respondent universe and any sampling or other respondent selection method to be used. Data on the number of entities (e.g., establishments, State and local governmental units, households, or persons) in the universe and the corresponding sample are to be provided in tabular form. The tabulation must also include expected response rates for the collection as a whole. If the collection has been conducted before, provide the actual response rate achieved.
The survey population includes fishing vessel owner/operators, processors, and aircraft owner/operators that participated in the commercial West Coast Drift Gillnet (DGN) and Harpoon (HPN) fishery during the 2015-16 and 2016-17 seasons, plus recent swordfish fishery participants who are currently inactive. During the 2012-13 season, 133 vessels were issued federal permits (47 DGN & 86 HPN) and in the 2013-14 fishing season, 74 DGN vessel permits were issued and 19 vessels actually fished. In the 2014-15 season, 72 DGN permits were issued and approximately 15 DGN vessels actually fished. The current survey will target the active DGN, HPN, longline, and deep set buoy gear vessels for 2015-16 and 2016-17. We will also attempt to contact any previous permittees who had DGN or HPN permits during the 2011 survey but are no longer participating in the fishery (we estimate 64 operator/owners). Based on the 2004 and 2011 surveys (see below), a 50% response rate is expected for the cost and earnings survey which would yield approximately 67 completed vessel surveys out of 133. For 2015-16 there were 5 aircraft permitted as fish spotters. We also anticipate responses from about five processors for the fleet in southern California. We expect a 100% response rate from fish spotters and processors. The completed responses for vessels will be stratified by vessel size, landings by weight, fishing method and port of registration. We anticipate an overall response rate of 54%.
The Southwest Fisheries Science Center (SWFSC) has conducted three previous economic cost earnings surveys of the fleet, under OMB Control No. 0648-0369. A survey fielded during 1999 obtained a 43% response rate. A second survey fielded during 2004 obtained responses from 54% of vessel owner/operators and the third survey conducted in 2010 obtained responses from 36% of DGN and HPN vessel owner/operators.
The targeted survey fielding protocol for this survey would suggest a slightly higher response rate than the last survey. Factors that will generate a higher response rate include very close collaboration with industry leaders to ensure their on-going support, attendance at industry events where surveys can be administered in person, and a survey method that includes phone and email follow-up to schedule personal interviews to administer the survey.
Total Target Population: DGN + HPN + Other |
143 |
Approximate expected survey response rate |
54% |
Approximate expected # of survey respondents |
77 |
Average burden hours per survey |
1 hour |
Total annual burden hours |
77 hours |
2. Describe the procedures for the collection, including: the statistical methodology for stratification and sample selection; the estimation procedure; the degree of accuracy needed for the purpose described in the justification; any unusual problems requiring specialized sampling procedures; and any use of periodic (less frequent than annual) data collection cycles to reduce burden.
This will be a census survey. The desired degree of precision, and corresponding desired response rate, depends upon the application for which the data is being used. Some applications may use data from all survey respondents, while other applications will use data only from vessels that hold a specific gear type or operate in a certain geographic location. A basic application of the survey data could be the inference of unobserved population mean values from the observed sample mean values. Given a population of approximately 133 vessels and an expected response rate of approximately 50%, a sample of 67 completed surveys would be required. This would yield approximately 67 respondents, and would achieve an appropriate margin of error (+/- 8%) at the 95% confidence interval.
For an example of anticipated precision of estimates, we consider the case of average variable costs. Results from the 2011 DGN-HPN fishery survey showed a coefficient of variation for reported category: variable costs of 0.3 for DGN vessels where X denotes respondent-level variable costs, s is the sample standard deviation and is the sample mean. The formula for the coefficient of variation of mean variable costs estimated from survey results is: , where ; N is the survey target population size, and n is the survey sample size. The associated margin of error for a 95% confidence interval for the mean variable cost is +/- , where 1.96 is the 97.5th percentile of a standard normal random variable. With a target population size of 133+ and 67 survey respondents, estimated mean variable costs would thus achieve an approximate margin of error of +/- 18.0% and +/- 5% for DGN vessels with 95% confidence.
The example above is one of many potential examples for the various sample data categories, and the CVs will vary for different sample statistics and may not be the same for this new survey as for the previous one. It is likely that different levels of precision will be obtained for other statistics calculated from survey results.
This is a one-time survey specifically designed to reduce the burden to the respondents.
3. Describe the methods used to maximize response rates and to deal with nonresponse. The accuracy and reliability of the information collected must be shown to be adequate for the intended uses. For collections based on sampling, a special justification must be provided if they will not yield "reliable" data that can be generalized to the universe studied.
Testing for non-response bias will be based on considerable data available for all members of the survey population. Data on vessel physical characteristics and landings are available for both survey respondents and non-respondents from the federal logbooks, and will be used to test the representativeness of survey respondents. No personally identifiable information will be provided to NMFS; the fishermen are aware of this and trust Dr. Hanan to follow through with this stipulation as he has done in previous surveys.
If non-response bias appears evident in our survey results, efforts will be made to contact groups that are under-represented to achieve a balance among different groups (different vessel sizes, fishing methods and levels of participation). If non-response bias still appears evident in our survey responses after such an effort, weighted averages and weighted sums based on the distribution of groups will be used to adjust the bias.
4. Describe any tests of procedures or methods to be undertaken. Tests are encouraged as effective means to refine collections, but if ten or more test respondents are involved OMB must give prior approval.
The survey has been reviewed and edited extensively by representatives of NMFS/SWFSC with extensive experience in administering surveys in the West Coast commercial fishing industry.
DGN-HPN industry leaders provided a review of the survey and the survey was also pretested by commercial swordfish participants. Testing included nine (9) individuals, which therefore did not require prior approval from OMB.
5. Provide the name and telephone number of individuals consulted on the statistical aspects of the design, and the name of the agency unit, contractor(s), grantee(s), or other person(s) who will actually collect and/or analyze the information for the agency.
Agency Coordinator:
Stephen Stohs, PhD
Southwest
Fisheries Science Center
8901
La Jolla Shores Drive
La Jolla, CA 92037
(858)
546-7084
[email protected]v
Contractor:
Doyle Hanan, PhD
President, Hanan & Associates, Inc.
PO Box 8914
Rancho Santa Fe, CA 92067
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | Sarah Brabson |
File Modified | 0000-00-00 |
File Created | 2021-01-23 |