1018-0088 SSB updated 07102024

1018-0088 SSB updated 07102024.docx

National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR)

OMB: 1018-0088

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Supporting Statement B

for paperwork reduction act submission


National Survey of Fishing,

Hunting, and Wildlife-Associated Recreation (FHWAR)

OMB Control Number 1018-0088



Collections of Information Employing Statistical Methods


The agency should be prepared to justify its decision not to use statistical methods in any case where such methods might reduce burden or improve accuracy of results. When the question “Does this ICR contain surveys, censuses, or employ statistical methods?” is checked "Yes," the following documentation should be included in Supporting Statement B to the extent that it applies to the methods proposed:


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 government units, households, or persons) in the universe covered by the collection and in the corresponding sample are to be provided in tabular form for the universe as a whole and for each of the strata in the proposed sample. Indicate expected response rates for the collection as a whole. If the collection had been conducted previously, include the actual response rate achieved during the last collection.


In 2022, an estimated 39.9 million people 16 years old and older fished, 14.4 million hunted, and 148.3 million wildlife watched in the United States in 2022 (see https://www.fws.gov/program/national-survey-fishing-hunting-and-wildlife-associated-recreation-fhwar).


NORC at the University of Chicago gathered data for the 2022 FHWAR. The response rates for the 2022 FHWAR data collection effort conducted by the NORC were as follows:


  • Screening phase:

  • Address-based sample 11%, respondent panel 9%

  • Detailed phase:

    • Wave 1 address-based sample 4%, respondent panel 8%

    • Wave 2 address-based sample 4%, respondent panel 7%

    • Wave 3 address-based sample 8%, respondent panel 5%


The (yet to be selected) data collector for 2027 will design and plan to conduct a survey of a sample of potential anglers, hunters, and wildlife watchers to update the FHWAR. The survey content will be similar to that used for the previous survey. Key methods for 2027 will include use of online survey data collection and a hybrid sampling approach that includes three different types of sample (described further below).


2027 FHWAR

For the 2027 FHWAR, the data collector will rely on two probability-based samples, a respondent panel, and an address-based sample (ABS). The respondent panel is a probability-based, mixed-mode panel with industry-leading population coverage and recruitment response rate. We complement the respondent panel with an address-based sample that invites respondents to answer the survey via either the web, phone, or a paper-and-pencil questionnaire. The data collector will perform a statistical calibration process to combine the probability and nonprobability samples. This approach takes advantage of the rigor of probability-based samples and the cost-effectiveness of nonprobability samples. In the following sections we describe the probability and nonprobability samples in further detail.


Probability Samples

We will use two probability sample sources. First, about 245,000 households will be selected from an address-based sample (ABS) derived from the USPS frame of U.S. addresses. Second, about 30,000 households will be selected from a probability-based panel representative of households nationwide.


Nonprobability Sample

In addition to the two probability-based sample sources, we will use nonprobability sample to help derive estimates of freshwater and saltwater anglers for coastal states. The nonprobability sample members will come from vendors such as Dynata and Lucid, and they will complete a short online survey during Wave 3 that asks if they saltwater or freshwater fish and collects demographic information. In order to provide estimates with a coefficient of variation of 3 percent for freshwater and saltwater angling for each for 23 coastal states, we expect to conduct interviews with about 13,500 nonprobability sample members.


Data Collection Methodology

The screener operation will obtain email addresses; basic demographic characteristics of residents of the selected address or household; potential household participation in fishing, hunting, and wildlife watching activities; and participation in target shooting, motorized boating, and archery activities. The screener interview consists of a self-response web interview, a phone interview, or paper questionnaire. An adult ages 18 or over will complete the screener questionnaire.


The next phase of the 2027 FHWAR will be the detailed wave interviews on fishing, hunting, and wildlife watching. Three waves of data collection are planned. Household members ages 16 and over are eligible to complete the wave questionnaire.


Separate detail samples for fishing, hunting, and wildlife watching will be chosen from the FHWAR screening sample. Each sample will include household members who do as well as do not participate in the stated activities, as shown in the exhibit below. The data collector will identify and interview all persons reported in the screener to have participated in fishing or hunting already in 2027, or who indicate that they are likely to do so during the remainder of 2027. For wildlife watching, due to the higher percentage of the population that participates in this activity, a sample of wildlife watchers identified in screening will be asked to complete a wave questionnaire. If a sample member is reported in the screener to participate in more than one activity, that person will be assigned to one of the three groups, with preference for the group(s) that are hardest to fill based on participation rates.


Table 1 indicates sample sources for the screener questionnaire as well as the distribution of sample by participation in fishing, hunting, and wildlife watching, across wave questionnaires for the ABS sample.


Table 1: Samples for Screener and Detailed Wave Questionnaires

Screener

  • Respondent panel

  • Nonprobability

  • Addressed based sample

Fishing

  • Fishing only

  • Fishing and hunting

  • Fishing, hunting, and wildlife watching

  • Hunting and wildlife

  • Hunting only

  • Wildlife watching only

  • Non-participant

Hunting

  • Hunting only

  • Fishing and hunting

  • Fishing, hunting, and wildlife watching

  • Fishing and wildlife watching

  • Fishing only

  • Wildlife watching only

  • Non-participant

Wildlife watching

  • Wildlife watching only

  • Wildlife watching and hunting

  • Fishing and wildlife watching

  • Hunting and fishing

  • Fishing only

  • Hunting only

  • Non-participant


Table 2 shows the expected response rates and completed cases for the screener and each detailed wave for the ABS sample.


Table 2: Sample Size, Expected Response Rates, and Completed Interviews by Wave for ABS Sample


Screener

Expected RR = 11%

Target HH members for wave questionnaires. Among these are non-participants (who do not fish, hunt, or watch wildlife) who will be invited to participate in Wave 3 only.



Fishing

Hunting

Wildlife Watching


Wave 1

Wave 1 nonrespondents will be invited to participate in Wave 3.

Total

Expected RR

8%

8%

8%

8%

Wave 2

Wave 2 nonrespondents will be invited to participate in Wave 3.

Total

Expected RR

8%

8%

8%

8%

Wave 3

Sample for Wave 3 includes:

  • Respondents from Wave 2

  • Nonrespondents from Wave 2

  • Nonrespondents from Wave 1

  • Non-participants selected from Screener





Total

Expected RR

11%

11%

11%

11%


Table 3 shows the expected response rates and completed cases for the screener and each detailed wave for the AmeriSpeak sample.


Table 3: Sample Size, Expected Response Rates, and Completed Interviews by Wave for Respondent Panel Sample


Screener

Expected RR = 9%

Target HH members for wave questionnaires. Among these are non-participants (who do not fish, hunt, or watch wildlife) who will be invited to participate in Wave 3 only.



Fishing

Hunting

Wildlife Watching


Wave 1

Wave 1 nonrespondents will be invited to participate in Wave 2.

Total

Expected RR

9%

9%

9%

9%

Wave 2

Wave 2 nonrespondents will be invited to participate in Wave 3.

Total

Expected RR

9%

9%

9%

9%

Wave 3

Sample for Wave 3 includes:

  • Respondents from Wave 2

  • Nonrespondents from Wave 2

  • Nonrespondents from Wave 1

  • Non-participants selected from Screener





Total

Expected RR

10%

10%

10%

10%


The data collector will use information obtained in the 2026 Pilot to estimate response rates to the screener and wave questionnaires and to estimate the percentage of the sample that will participate in fishing, hunting, and wildlife watching activities for the 2027 FHWAR.


2. Describe the procedures for the collection of information including:

* Statistical methodology for stratification and sample selection,

* Estimation procedure,

* Degree of accuracy needed for the purpose described in the justification,

* Unusual problems requiring specialized sampling procedures, and

* Any use of periodic (less frequent than annual) data collection cycles to reduce burden.


2027 FHWAR


Data for the FHWAR screener will be collected January through April, 2027. Data for fishing, hunting, and wildlife watching samples will be collected in three waves. The first wave will be conducted May 2027. The second wave will be conducted September 2027. The third wave will be conducted January 2023.


The reference period for some questions in the screener interview is fishing, hunting, and wildlife watching activities since January 1, 2027. Respondents will also answer several questions about participation in outdoor activities in 2026 and prior years.

The reference period for all detailed wave interviews is 2027. The reference period that a respondent would report on in the interview will range from several months to the entire year, depending on the date of the interview and whether the respondent completed earlier wave interviews. The Wave 1 interview will ask about activities since January 1, 2027. The Wave 2 interview will ask about activities since the Wave 1 interview. However, the Wave 3 interview will ask about activities since Wave 2, or activities for the entire year if the respondent had not responded to any prior wave interview requests. After the Wave 3 interview is conducted, the data collector will have collected data on each sample person’s activities for the entire year of 2027.


The estimation procedure for the FHWAR screening and detail samples follows the usual statistical principles used for other surveys. The final weight for each case in the screening sample will include factors such as the product of the inverse of the selection probability, adjustments to account for noninterviews, and a weighting factor to bring sample estimates into agreement with independent population controls for factors such as age, sex, and race.


The final weight for each case in the FHWAR detail samples is the product of factors such as the inverse of the selection probability, adjustments to account for noninterviews, and a ratio adjustment to bring the estimates of persons aged 16 or older from the detail interviews into agreement with the same estimates from the screening sample, which was a much larger sample.


The data collector will determine that the overall degree of accuracy of their collection methods will meet the Fish and Wildlife Service objective that the coefficient of variation on the estimated number of hunters aged 16 and older to be approximately 3 percent.

There are no unusual problems requiring specialized sampling. The data for this survey is collected approximately every 5 years to reduce respondent burden.


3. Describe methods to maximize response rates and to deal with issues of non-response. The accuracy and reliability of information collected must be shown to be adequate for intended uses. For collections based on sampling, a special justification must be provided for any collection that will not yield "reliable" data that can be generalized to the universe studied.


The data collector staff will perform standard procedures to keep response rates for the respondent panel and address-based samples as high as possible. The data collector will make multiple attempts to contact respondents via email or USPS mail to ask for their participation. Respondents will receive materials that explain the purpose of the survey, the importance of participation, what participation entails, and their rights as survey respondents. Respondents will be able to contact the data collector to ask further questions prior to participation.


The survey featured an adaptive design aimed at bolstering representativeness and reducing nonresponse bias rather than maximizing the response rates. Studies such as Groves 2006 (https://doi.org/10.1093/poq/nfl033) show that nonresponse does not necessarily lead to nonresponse bias. In order to mitigate potential nonresponse bias, the sampling and weighting will incorporate urbanicity, hunting license, and commercial data along with ACS demographic benchmarks and data from the 2022 National Survey and the 2016 National Survey. There is always the potential for other unknown sources of nonresponse bias, but the sampling and weighting approach will help mitigate potential nonresponse bias.


The nonprobability sample will be a significant part of the total respondent sample but is not part of the response rate calculation. Non-probability panels do not start with a frame where there is a known probability of selection, therefore standard measures of sampling error and response rates cannot be calculated.


4. Describe any tests of procedures or methods to be undertaken. Testing is encouraged as an effective means of refining collections of information to minimize burden and improve utility. Tests must be approved if they call for answers to identical questions from 10 or more respondents. A proposed test or set of tests may be submitted for approval separately or in combination with the main collection of information.


Web Survey

The data collector will provide a web option for respondents to complete the Screener and detailed Wave questionnaires. The web instrument will contain edits on many variables and consistency checks on critical items to maximize quality of the data without unduly affecting the flow of the interview. This instrument will allow for backward data correction and will contain logic to ensure that the proper interview path is maintained. The web option will be complemented by a mail (paper) survey and telephone interview option. There will be no in-person interviewing for the 2027 FHWAR. The data collector will evaluate the efficacy of the web survey by monitoring response rates and data quality across modes.

Hybrid Sample Design

In section 2 above, we describe the data collector’s hybrid sample design for the 2027 FHWAR.


Experiment with Post-Incentives

The data collector proposes to do an experiment involving the offer of $5 and $10 post-incentives among ABS sample members within the 2027 FHWAR data collection effort. The experiment will allow us to examine the potential impact of offering a higher incentive ($10) on response propensity independent of sample characteristics (hard-to-reach or not). Households will be allocated into 4 groups:


      • $5, not hard-to-reach

      • $5, hard-to-reach

      • $10, not hard-to-reach

      • $10, hard-to-reach


Additional information about the use of incentives for the 2027 FHWAR is included in Supporting Statement A.


5. Provide the names and telephone numbers of individuals consulted on 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.


You may consult the following Fish and Wildlife Service’s coordination team for information regarding sample design and data collection:


Richard Aiken, [email protected]

Jerry Leonard, [email protected]

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