Review the various uses of the metadata during the analysis in this course, and learn about its uses after the analysis is complete.
- [Narrator] We are onto chapter seven, section two,…where I reveal to you how all this metadata…we made is not wasted.…It's the gift that keeps on giving.…In this movie, I'm going to remind you…how the metadata helped us during our analysis.…But I'm also going to talk about how the metadata…we painstakingly made during this course…can also propel us forward.…So who's going to use this metadata after this analysis?…Well, if you are on a team of non-analysts,…it's a good way to communicate so the whole team can use it.…
If they wonder why you categorized things the way you did…or how you came up with your variables…or your analytic data set,…you can show them your various metadata.…Also, having all this metadata is a good way…to get out of being on a project.…Let's say you get too busy and want to…hand the project off to another analyst…when there are edits to be made.…You can easily hand her all the metadata,…and there will be few questions.…She can carry on the analysis without…too much delay or need to consult with you.…
This detailed, practical course is designed to help those in the field of public health, medicine, and data science to edit, analyze, and interpret data. Learn how to code new variables, use the forward-stepwise modeling process, and document your decisions. Find out how to visualize results by generating charts and graphics, and how to add tables and figures to your documentation. This course helps equip you to independently design, develop, and execute a full BRFSS analysis, and even publish your results in scientific publications or journals.
- Reviewing survey data and documentation
- Conducting a BRFSS analysis
- Understanding naming conventions
- Editing variables
- Reviewing distributions
- Generating an analytic dataset
- Developing descriptive statistics to answer prespecified hypotheses
- Preparing publication-worthy tables and plots
Skill Level Advanced
1. What Is the BRFSS?
2. Designing Your Metadata
3. Reading in Data and Applying Exclusions
4. Preparing for Descriptive Analysis
5. Conducting Descriptive Analysis
Making a frequency macro4m 8s
6. Descriptive Analysis: Weights and Tests
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