Revision Request
(0920-0650)
Prevention Research Centers Program
National Evaluation Reporting System
Supporting Statement
Part B: Collection of Information Employing Statistical Methods
February 13, 2013
Submitted by:
Prevention Research Centers Program
Applied Research and Translation Branch
Division of Population Health
National Center for Chronic Disease Prevention and Health Promotion
Centers for Disease Control and Prevention
Department of Health and Human Services
Project Officer:
Jo Anne Grunbaum, EdD
Team Leader
Telephone: 770-488-5542
Facsimile: 770-488-5486
Email: jgrunbaum@cdc.gov
Table of Contents
Part B. Collections of Information Employing Statistical Methods
1. Respondent Universe and Sampling Methods
2. Procedures for the Collection of Information
3. Methods to Maximize Response Rates and Deal With Nonresponse
4. Tests of Procedures or Methods to be Undertaken
5. Individuals Consulted on Statistical Aspects and Individuals Collecting
and/or Analyzing Data
Data Collection Design
Data Collection
Data Analysis
Attachments
1: Authorizing Legislation -- Public Law 98-551
2A: Federal Register Notice
2B: Summary of Public Comments and CDC Response
3: PRC Program Performance Indicators
4A: Web-Based Survey
4B: Web-Based Survey Live Screen Shots
5: Telephone Interview
COLLECTIONS OF INFORMATION EMPLOYING STATISTICAL METHODS
1. Respondent Universe and Sampling Methods
The respondent universe is all 37 currently funded PRCs. CDC does not use any sampling methodology as all 37 PRCs need to provide their own data on an annual basis.
Procedures for the Collection of Information
The PRC Program will continue to use automated systems for data entry and analysis. Each PRC will be assigned a unique ID that allows data from different sources to be linked and facilitates development of datasets and analysis. The revised data collection methodology will use SurveyGizmo, a web-based survey platform that will collect data on each PRC’s collaborations with health departments; formal training programs and other training activities; and other funded prevention research projects conducted separately from their core research. Data collected in SurveyGizmo are exported into MS Excel.
A structured telephone interview will also be used to collect data on each PRC’s contributions to systems and environmental changes. Though we seek quantitative information, these data do not lend themselves to survey-based methodology and require some qualitative discussion. Telephone interviewers will be trained prior to data collection and will enter information into MS Excel.
The exported data from SurveyGizmo and those collected through the telephone interview will be imported into a MS Access database for storage and some preliminary data cleaning. All data will be combined into a single SAS data set for analysis and maintained on-site at CDC.
The information collected from respondents will be supplemented by information collected by CDC staff in the PRC Program office. CDC staff will use MS Excel and Access, Endnotes and other available software to organize information about PRCs that is available from other sources, such as the PRC application for funding, Progress Reports, literature searches, and publicly available information about each PRC’s catchment area. Burden to respondents will be reduced by the involvement of PRC staff in better utilizing existing data resources related to core PRC projects and Special Interest Projects (SIPs) - including the populations served and publications, and presentations. PRCs validate that data abstracted from existing documents are correct and up-to-date.
PRC Program office staff is available to provide technical assistance on an ongoing basis as needed. Staff at each PRC enters data for each fiscal year. Respondents are not routinely re-contacted to validate data collected through the web-based survey or telephone interview; although a very unusual or unclear response or a significant outlier could prompt contact for validation. PRCs will complete the web-based survey and participate in the telephone interview between August – October in both 2013 and 2014. The PRC Program will begin a new funding cycle starting in September 2014 and an OMB revision or change request will likely be submitted.
Quality control procedures are implemented through the data entry system and include range checks and skip patterns. Quality control procedures implemented through data analysis include identification of outliers.
Methods to Maximize Response Rates and Deal With Nonresponse
All 37 PRCs are required to provide data related to the PRC Program national program indicators. To date, 100% of PRCs enter data on program indicators.
Tests of Procedures or Methods to be Undertaken
No tests of procedures or methods are needed. SurveyGizmo is a very simple interface for data entry.
Individuals Consulted on Statistical Aspects and Individuals Collecting and/or Analyzing Data
The PRC does not use any statistical methods to select respondents, thus no individuals were consulted on statistical aspects of sampling.
Data collection design
PRC Program office staff will design the SurveyGizmo web-based survey. The person at CDC responsible for the survey design is:
Diane Green, MPH
Telephone: 770-488-6562
Email: dcg1@cdc.gov
Sharrice White-Cooper, MPH
Telephone: 770-488-5148
Email: swhitecooper@cdc.gov
Elizabeth Neri, MPH
Telephone: 770-488-5291
Email: eneri@cdc.gov
Data collection
Each PRC enters its own data into the web-based survey through the Internet.
Data analysis
The PRC Program office will conduct all data analysis. The persons responsible for data analyses are:
Jo Anne Grunbaum, EdD
Telephone: 770-488-5542
Email: jgrunbaum@cdc.gov
Diane Green, MPH
Telephone: 770-488-6562
Email: dcg1@cdc.gov
Merriah Croston
Telephone: 770-488-4282
Email: mcroston@cdc.gov
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
File Title | Supporting Statement for Extension of Federally Sponsored Data Collection Through the Prevention Research Centers Program Inform |
Author | ggl2-su |
File Modified | 0000-00-00 |
File Created | 2021-01-29 |