Learn how to generate the age-related variables designed earlier in the data dictionary.
- [Instructor] We are going to start with generating…the age variables we need for our descriptive analysis.…Remember how we set up our data dictionary?…Remember all those variables we decided to make?…Now, in this chapter we will go through…the data dictionary and make all those variables.…We will start in this session with the age variable.…Where I will start by showing you how to refer…to your data dictionary about the age variables.…This time we don't need a grouping variable.…But we do need a bunch of indicator variables.…
This is part of why we designed the variables…and put them in the data dictionary, to make coding easier.…Looking at that while we formulate the code,…will prevent us from making mistakes with our code.…Let's go over to the age tab in our data dictionary…for guidance.…Age was complete in BRFSS…so we don't need to make an age grouping variable.…We can just use X age to G as our grouping variable.…But we need to make all these indicator variables…we can use in our regression in the next course.…
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
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.