Department of Transportation
Office of the Chief Information Officer
SUPPORTING STATEMENT
Annual Grant Program Effectiveness Survey
The Federal Motor Carrier Safety Administration (FMCSA) prepared this Supporting Statement for the Office of Management and Budget (OMB) review and approval of a new information collection request (ICR) entitled, “FMCSA Annual Grant Program Effectiveness Survey.”
Section B: Collections of Information Employing Statistical Methods
1. Potential Respondent Universe and Sampling Method.
As described in “section A” above, this collection seeks to accumulate information from a relatively small population of 50 State government grant recipients. We expect to secure responses from nearly 100 percent of the survey recipients. We will not use any statistical sampling to determine any result(s). We expect a high response rate because the States should be motivated to provide inputs which promise to shape the content and effectiveness of future grants in their favor. This collection has not been conducted previously, therefore, information on actual response rates are not available.
2. Statistical Procedures.
The procedures for collecting this information include a survey and requests authority to conduct follow-up interviews if clarification is required. The collection will not include any statistical sampling.
3. Respondent Motivation.
The collection is voluntary and the States are motivated to provide their ideas to help shape existing and future grant programs which mutually address Federal and State safety goals. The accuracy and reliability of information collected will be high since the respondents will represent the entire population universe.
4. Tests of procedures or methods to be undertaken.
We have no intention of “testing” the data on more than 9 respondents.
5. Name and Telephone Number of statistical Consultants.
FMCSA Research and Analysis Branch agree that a review of the population universe is superior to a sample. The FMCSA contact for statistical matters is as follow:
Mr. William Bannister, Chief, Analyst Division
Telephone: 202-385-2388
Email: [email protected]
| File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| File Title | SECTION A |
| Author | herman.dogan |
| File Modified | 0000-00-00 |
| File Created | 2021-01-25 |