SSA Reqirement

New Requirements for Supporting Statement A

GenIC

Request for Approval under the

Generic Clearance for the Collection of Routine Customer Feedback

OMB Number 0920-1050

Data Modernization Learning Community participant feedback survey

Goal of the study (eg determine behavior factors that influence changes in weight over time or evaluate program delivery processes): To what extent did learning activities meet the needs of the learning community members and to what extent did learning activities meet the overall goals and objectives of the project.

Intended use of the resulting data (e.g. provide suggestions for improving community-based programs): Findings will be used in a report provided to the CDC. The results of the surveys will provide insight and direction for future learning community activities in direct support of State, Tribal, Local, and Territorial (STLT) participants and their data modernization efforts. A summary of the findings will be presented to the learning community members as an opportunity to close the loop and showcase the utility of their efforts.

Methods to be used to collect (e.g. prospective cohort design; randomized trial; etc): Web-based surveys using SurveyMonkey

The subpopulation to be studied (e.g., school-age children in North Carolina, conference attendees): Individuals who registered for the Data Modernization Learning Community. Target audience is STLT health departments who received C2 Epidemiology and Laboratory Capacity (ELC) funding.

How will the data be analyzed (e.g., logistic regression, descriptive statistics):

Once the survey’s data collection period has closed, we will download all survey data into Excel and import the data into SPSS. We will clean and code the data, as necessary. As part of this process, we will examine any incomplete survey response to determine if it contains enough data to be converted to a complete response. We will also develop and employ algorithms, as necessary, to inform decisions about how to handle incomplete responses or inconsistent data. Once this process is completed, we will have a data file ready for analysis.

That majority of the data will be quantitative and collected via multiple choice and other close-ended survey questions. Quantitative data will be analyzed in SPSS® using standard approaches such as frequencies, cross-tabs, and chi-square tests to assess for significant differences between groups, as appropriate. For the few qualitative or open-ended responses that we anticipate having, we will code the responses and use keyword analysis in Dedoose® (a cloud based qualitative analysis tool) to summarize responses and identify themes.