2009 supporting statement Part B

2009 supporting statement Part B.doc

Survey of Customers of the Official Grain Inspection and Weighing System

OMB: 0580-0018

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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 unites, 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 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 fiscal year 2007, FGIS surveyed a representative sample of paying customers of FGIS and the official inspection, grading, and weighing programs in accordance with Executive Order 12862. Survey questions were based on the following factors identified previously by customers as being critical to the official system’s success: timeliness, cost-effectiveness, accuracy and consistency, usefulness of services and results, and professionalism of employees.


FGIS mailed surveys to 1,018 customers of the 43 private official agencies, 12 State agencies, and 5 FGIS field offices (i.e., League City, TX; New Orleans, LA; Portland, OR; Stuttgart, AR; and Toledo, OH). Although 49 customers failed to receive surveys, 505 of the remaining 969 customers returned completed surveys for a response rate of 52 percent.


For the 2007 survey, FGIS obtained current customer listings from each office and agency within the official grain inspection, grading, and weighing system. The revised master list contains 8900 customer names and addresses. For subsequent surveys, FGIS will ask official agencies and field offices to update the master list of their customers.


Since conducting its first survey in 1996, FGIS has strived to improve the survey’s response rate to 60 percent or greater. To achieve that end, FGIS is collaborating with a statistician from FGIS’ Technical Service Division (TSD) to provide statistically-based sampling procedures and data analysis. FGIS has determined that a representative sampling of approximately 1100 customers should be surveyed. To improve stratification estimates and ensure equal representation for all agencies and offices, FGIS will randomly select an equal percentage of customers from each agency and field office. The following table represents the number of customers that will be surveyed for each FGIS field office, State official agency, and private official agency:







Number of Customers per Office/Agency



Name of FGIS Export Office

No. of Customers

League City

27

New Orleans

26

Portland

8

Stuttgart

10

Toledo

40

Name of State Official Agency

No. of Customers

Alabama

1

Georgia

14

Louisiana

4

Missouri

36

Montana

1

North Carolina

1

North Dakota

338

South Carolina

1

Utah

5

Virginia

2

Washington

62

Wisconsin

1

Name of Private Official Agency

No. of Customers

Aberdeen

4

Amarillo

6

Barton

2

Cairo

6

Central Illinois

1

Central Iowa

21

Champaign

86

Columbus

9

Decatur

2

Detroit

2

East Indiana

2

Eastern Iowa

7

Enid

27

Farwell

4

Farwell Southwest

1

Frankfort

1

Fremont

4

Hastings

8

Idaho

21

Indianapolis

3

Jamestown

12

Kankakee

5

Kansas

218

Keokuk

1

Lewiston

1

Lincoln

7

McCrea

1

Michigan

2

Mid-Iowa

7

Midsouth

7

Minot

3

Northeast Indiana

2

Northern Plains

9

Ohio Valley

4

Omaha

1

Plainview

5

Schaal

9

Sioux City

18

Springfield

2

State Grain

5

Titus

2

Tri-State

3



FGIS aims to achieve a 60 percent or greater response rate for each annual survey. By having a current, accurate customer database, FGIS anticipates a higher response rate than that achieved in 2007.


FGIS will also employ follow-up techniques such as reminder postcards to ensure a high response rate.


  1. 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.

As mentioned in the above response, FGIS determined that a representative sampling of approximately 1100 customers should be surveyed. To improve stratification estimates and ensure equal representation for all agencies and offices, FGIS will randomly select an equal percentage of customers from each agency and field office. The margin of error is anticipated to be plus or minus 3 percent.


Approximately 10 to 14 days after initial mailing of the survey forms, FGIS will mail reminder postcards signed by the FGIS Deputy Administrator to all surveyed customers. Approximately 21 to 28 days after the initial mailing of the survey forms and after assessing the response rate, FGIS will send a reminder letter with information about how to request a replacement survey. FGIS will code all survey forms in order to distinguish respondents from non-respondents; the coding information will be strictly for FGIS internal use and individual responses will remain confidential.


FGIS is seeking a 3-year renewal authority so that it can issue its customer survey once per year over the 3-year period. With this policy, FGIS will be able to establish baselines for customer satisfaction and track progress for key factors. Depending on the survey results over the next 3 years, FGIS will determine the manner in which to continue the surveying process as well as the type of OMB approval it will seek.


  1. 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.


To improve stratification estimates and ensure equal representation for all agencies and offices, FGIS will randomly select an equal percentage of customers from each agency and field office. By having a current and accurate customer database, FGIS anticipates a higher response rate than that achieved in 2007. To further maximize the customer response rate, FGIS will follow-up with reminder postcards and a letter.


FGIS has recorded all customer surveys that did not reach the intended recipients for the 2007 survey. FGIS will ask official agencies and field offices to update the addresses of those customers before new surveys are mailed for this information collection.


  1. 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.


While we are planning to conduct electronic surveys during the approval period of this information collection, no system has yet been designed for testing purposes.


  1. Provide the name and telephone number 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 of the agency.


FGIS consulted with TSD employee, Larry Freeze, Statistician (tel: 816-891-0453). Idelisse Rodriguez, Program Analyst (tel: 202-720-5688) will oversee all aspects of the surveying process.

File Typeapplication/msword
File TitleSUPPORTING STATEMENT FOR REQUEST FOR GENERIC CLEARANCE
AuthorMarianne Plaus
Last Modified Byhtbutler
File Modified2009-07-23
File Created2009-07-23

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