Learn how to complete developing calculated variables per the data dictionary and finalize the analytic data set.
- [Instructor] Welcome to Chapter Four, Section Three,…where we finalize our analytic data set…before we get on with our analysis.…First, we will start by reviewing our data dictionary…and our final code that will make all…our calculated variables. Next, I'll show you…how to read out your final data set for analysis.…We'll review the rules for naming conventions,…in case you want to edit the data later.…And we will review the order of operation…for editing the data.…So let's go to our dictionary for a moment.…
So let's look down this list. As I said before,…most of these variables follow this pattern.…You make a grouping variable, and then…you use that to make the flags.…And you run table commands to make sure you didn't mess up.…You are guided by the specifications…on the tabs that you designed in the previous chapter.…And you use the or operator and…the and operator when you need to.…So let's go to our big code file that we've been working on,…where we generated our age variables…and our smoking variables, and see what's left to generate.…
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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