HHS Recovery Act Recipient Reporting Readiness Tool
Step 4. Review and Copy the Grant Awards Data
TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.
You may capture the data HHS does provide by copying data from this screen and pasting it into the reporting format of your choice, such as the Excel spreadsheet template, the XML template, or by logging into the online form. For assistance with copying and pasting these data please e-mail our help desk at Readiness Help.
| Recipient Report: Grant or Loan | ||
| Prime Recipient |
| Reporting Information | ||
| Award Type | Award Number | Final Report |
| Grant | 1R21HD063070-01A1 | Recipient responsible for this data |
| Award Recipient Information | ||
| Recipient DUNS Number | Recipient Account Number | Recipient Congressional District |
| 004868105 | Recipient responsible for this data | 2 |
| Award Information | ||
| Funding Agency Code | Awarding Agency Code | Award Date |
| 7529 | 7529 | 09-22-2010 |
| Amount of Award | Sub Account Number for Program Source (TAS) | |
| $ 211,132 | Recipient responsible for this data | |
| Program Source (TAS)* | CFDA Number | |
| 750840 | 93.701 | |
| Total Number of Sub Awards to Individuals | Total Amount of Sub Awards to Individuals | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Total Number of Payments to Vendors less than $25,000/award | Total Amount of Payments to Vendors less than $25,000/award | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Total Number of Sub Awards less than $25,000/award | Total Amount of Sub Awards less than $25,000/award | |
| Recipient responsible for this data | Recipient responsible for this data | |
| Award Description | ||
| DESCRIPTION (provided by applicant): This project investigates the utility of a new strategy to address one of the most serious problems in inference from survey data: bias and variance in survey estimates resulting from low rates of survey participation. Much of health policy and health research relies on survey data from studies, such as the National Longitudinal Study of Adolescent Health (Add Health) funded by the National Institute of Child Health and Human Development (NICHD), yet a nonrandom part of the survey sample fail to respond. Such longitudinal studies suffer from attrition nonresponse while they also dispose of substantial amount of information on sample members. The potential for biased survey estimates presents an enormous problem for health researchers and policy makers alike. The novel approach to the nonresponse problem proposed in this project uses information available on all sample members, to focus on those who are most likely to contribute to greater nonresponse bias and greater standard errors for key survey estimates if they are not interviewed. Our method contrasts markedly with the typical nonresponse approach many survey managers adopt, which seeks to maximize overall survey response rates. Increasing overall response rates does not always decrease response bias in survey estimates. The method outlined here focuses on critical survey variables (y) and uses multiple sources of information to produce models that predict the likelihood of a case contributing disproportionately to nonresponse bias as well as to weighting variance that results from disproportionate nonresponse. After we empirically identify those cases most likely to contribute to nonresponse bias in key (y) variables, we introduce a more effective protocol to encourage these sample members' participation. We believe that this theoretically and empirically driven approach can improve the quality of survey estimates by dramatically reducing bias and variance due to nonresponse in key survey estimates, using existing data during data collection. This project will evaluate this new approach to survey nonresponse via an experiment in an upcoming data collection. A random sample of cases will be assigned to the new approach to addressing nonresponse, while the other half will be assigned to a typical approach of response rate maximization. The results from this experiment could provide analysts and methodologists in health and social sciences with a new method to address bias and variance impacts on estimates stemming from nonresponse in surveys. The proposed approach can help improve the estimates data users derive from NICHD survey data and could have benefits for the broader scientific community, as a method to reduce nonresponse bias in surveys at a time when survey nonresponse poses a serious, growing threat to information used for policy making and studying changes in populations. PUBLIC HEALTH RELEVANCE: Accurate survey data are critical to health research and the subsequent formation of sound health policy. Biased survey estimates present a complex problem for health researchers and policy makers requiring accurate data. This R21 project investigates the utility of a new solution aimed at ameliorating increased nonresponse bias and total nonresponse error due to declining participation in sample surveys. | ||
| Project Information | ||||||||||||||||||||||||||
| Project Name or Project/Program Title |
Project Status | Total Federal Amount ARRA Funds Received/Invoiced |
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| ANTICIPATORY SURVEY DESIGN: IDENTIFICATION AND REDUCTION OF NONRESPONSE BIAS DUR | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Number of Jobs | Description of Jobs Created | |||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | |||||||||||||||||||||||||
| Quarterly Activities/Project Description | ||||||||||||||||||||||||||
| Recipient responsible for this data | ||||||||||||||||||||||||||
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| Total Federal Amount of ARRA Expenditure |
Total Federal ARRA Infrastructure Expenditure |
Infrastructure Contact Name | ||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure Contact Email | Infrastructure Contact Phone | Infrastructure Contact Phone Ext. | ||||||||||||||||||||||||
| Recipient responsible for this data | Recipient responsible for this data | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure Contact Street Address 1 | Infrastructure Contact Street Address 2 | Infrastructure Contact Street Address 3 | ||||||||||||||||||||||||
| P.O. BOX 12194 | Not Available | Recipient responsible for this data | ||||||||||||||||||||||||
| Infrastructure City | Infrastructure State | Infrastructure ZIP Code+4 | ||||||||||||||||||||||||
| RSCH TRIANGLE PK | NC | 27709-2194 | ||||||||||||||||||||||||
| Infrastructure Purpose and Rationale | ||||||||||||||||||||||||||
| Recipient responsible for this data | ||||||||||||||||||||||||||
| Primary Place of Performance | ||
| Street Address 1 | Street Address 2 | City |
| Not Available | Recipient responsible for this data | RESEARCH TRIANGLE PARK |
| State | Zip Code+4 | Congressional District |
| NC | 27709 | Not Available |
| Country | ||
| US | ||
| Recipient Highly Compensated Officers | |||
| Prime Recipient Indication of Reporting Applicability | # | Officer Name | Officer Compensation |
| Recipient responsible for this data | 1 | Recipient responsible for this data | Recipient responsible for this data |
| 2 | Recipient responsible for this data | Recipient responsible for this data | |
| 3 | Recipient responsible for this data | Recipient responsible for this data | |
| 4 | Recipient responsible for this data | Recipient responsible for this data | |
| 5 | Recipient responsible for this data | Recipient responsible for this data | |
This concludes the current search.
To begin a new search, return to the HHS Recovery Act Recipient Reporting Readiness Tool.
USE IN THE RECIPIENT REPORT
The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.
