Data State of Mind Online Modules

Learning Objectives: After this module you will be able to:

1. Define key terms including “data”, “raw data”, and “data literacy” 
2. Explain why it is important for public and behavioral health professionals to be “data citizens”

Learning Objectives: After this module you will be able to:

1. Distinguish between types of data (e.g., qualitative vs. quantitative; primary vs. secondary)
2. Describe the different parts of a research study or article
3. Reference the level of evidence and evidence-based registries to select effective interventions 
4. Describe descriptive statistics including mean, median, mode, range, percentages, and frequencies
5. Recognize inferential statistics and qualitative data analysis methods  

Learning Objectives: After completing this module, you will be able to:

1. Describe how the methods used for data collection may impact the results 
2. Assess the credibility of a data source or study
3. Assess potential areas of bias found within a data source or study
4. Assess the “truth” of a study based on the manipulation of data and interpretation of results

Learning Objectives: After completing this module, you will be able to:

1. List key information that should be provided to an agency when requesting data.
2. Describe considerations for determining whether or not to conduct primary data collection.
3. Describe how Institutional Review Boards, the Health Insurance Portability and Accountability Act (HIPAA) and the Family Educational Rights and Privacy Act (FERPA) provide safeguards for data collection.
4. Describe key steps for conducting a community assessment that help ensure it is strategic.
5. List data collection approaches when conducting a community assessment
6. Describe how to use Microsoft Office or Google Workspace tools to store your data.

Learning Objectives: After completing this module, you will be able to:

1. Articulate the question they are trying to answer with their data analysis.
2. Create a plan for data analysis
3. Identify patterns or trends from the data 
4. Consider sample size, practical and statistical significance when drawing conclusions from data 

Learning Objectives: After completing this module, you will be able to:

1. Create a dissemination plan for communicating data 
2. List three techniques that can be used for communicating data 

Learning Objectives - by the end of this module, you will be able to:

1. Create a plan for continued personal professional development related to data literacy
2. Identify ways to integrate data literacy into your organization or among your team or partners.