Supplemental Supporting Statement - Part B for Substantive Change Request for Feral Swine - March 2022

1 Supporting Statement – Part B for Substantive Change Request

FERAL SWINE SURVEY

OMB No. 0535-0256

B. COLLECTION 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 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 has been conducted previously, include the actual response rate achieved during the last collection.

The 2022 Feral Swine Damage to Crops Survey Sampling Frame is comprised of operations on the NASS List Frame that grow corn, soybeans, wheat, rice, peanuts, and sorghum in the following 11 States: Alabama, Arkansas, California, Florida, Georgia, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, and Texas.

The sampling frame was grouped into low, medium and high feral swine density counties^a before a sample was selected using a Multivariate Probability Proportionate to Size (MPPS) sample design.

The Multivariate Probability Proportional to Size (MPPS) sampling design^b was used for the 2022 Feral Swine Survey. This design takes advantage of the efficiencies of a Probability Proportional to Size (PPS) design, while adding the dimension of utilizing multiple variables in the sample allocation. Additionally, this design can target a sample size for every targeted item. The sample size for each commodity was derived using the simple random size formula.

For a MPPS design the probability of selection is:

Where:

𝜋_i is the maximum probability of selection for farm operator i.

i is the farm operator,

h is the target commodity,

x is the value of target commodity h, and

r is the power.

The target sample size for each targeted commodity is:

Where:

n is the sample size for target commodity h,

N_h is the target commodity population,

s_h is the target commodity standard deviation,

f_h is the target commodity coefficient of variation, and

T_h is the target commodity total.

A target commodity coefficient of variation of 39%, 12% and 9% for low, medium and high feral swine density strata, respectively, were used to derive target sample sizes and a power of 0.75 was used to derive the maximum probability of selection. The initial sample size of ~6,900 was adjusted by a response rate of 60%; hence the final sample size is ~12,000.

The following table contains the response rates for the last four cycles of the survey.

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

Questionnaires will be mailed July 2022. Operations that do not respond by mail or internet within a couple of weeks will be attempted by phone enumeration. Responses will be monitored to make sure that the respondents are representative of the stratified sample. Extra efforts will be taken to collect data from any stratum that has insufficient coverage. After data collection is complete, the data will be edited for reasonableness and completeness.

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 survey will initially be mailed out to the entire sample. Respondents will be given the option to respond by either mail or internet. Non-respondents will be attempted by phone and there may be limited field enumerations who will phone from home for respondents who have been coordinated with any other surveys that NASS will be conducting at that time. The COVID-19 protocols may impact the use of Field Enumeration. NASS will be using National Association of State Departments of Agriculture (NASDA) enumerators who have been working with NASS surveys for many years. Training will be provided by the NASDA supervisors and by our regional Data Collection Centers.

The USDA Animal and Plant Health Inspection Service (APHIS) has posted information to their website informing the public on: how to identify feral swine, the damages they cause, control methods that are available, government programs, and more. The public can access this information at:

https://www.aphis.usda.gov/aphis/ourfocus/wildlifedamage/operational-activities/feral-swine.

4. Describe any tests of procedures or methods to be undertaken.

Minor changes have been made to the previous questionnaire based on previous surveys. NASS will do internal testing of the edit and summary programs before any publications will be generated to ensure accuracy of data.

5. Provide the name and telephone number of individuals consulted on statistical aspects of the design and the name of the agency unit, contractor(s), or other person(s) who will actually collect and/or analyze the information for the agency.

The sample size for each State is determined by the Sampling, Editing, and Imputation Methodology Branch, Methodology Division. The Branch Chief is Mark Apodaca, (202) 690-8141.

Data collection is carried out by NASS Field Offices; Eastern Field Operation’s Director is Jody McDaniel (202) 720-3638 and the Western Field Operation’s Director is Troy Joshua, (202) 720-8220

The NASS Crops Branch Chief is Lance Honig, (202) 720-2127.

The NASS Survey Administrative Statistician in Headquarters for the Feral Swine Survey is Isiah Nelson (202) 720-4332 in the Livestock and Specialty Surveys Section of the Survey Administration Branch, Census and Survey Division; Branch Chief is Gerald Tillman, (202) 720-3918. The Survey Administrator is responsible for coordination of sampling, questionnaires, data collection, training, Interviewers Manual, Survey Administration Manual, data processing, and other Field Office support.

The national summary is the responsibility of the Summary, Estimation and Disclosure Methodology Branch, Methodology Division; Branch Chief is Jeff Bailey (202) 690-8141.

March 2022

a The feral swine density by county data was obtained from APHIS-Wildlife Services.

b Bailey, Jeff and Kott, Phillip (1997),”An Application of Multipurpose List Frame Sampling For Multi-Purpose Surveys, Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 496-500.