The Analysis Factor

Statistical Consulting, Resources, and Statistics Workshops for Researchers

Stage 3: Extensions of Linear Models

Stage 2 of the Four Stages of Statistical Skill was all about linear models and required a lot of honing of data analysis and software skills. Once you’re comfortable there, you’re ready to move onto Stage 3.

Here we move beyond linear models into statistical models and analyses that extend or are based on linear models.

Once again, you need all three skills, but at this stage, you should have down the data analysis skills and software skills that apply to any modeling.

So when you learn a new type of modeling at Stage 3, your emphasis will be on the statistical knowledge, and you’ll only need to learn any new data analysis skills or software skills necessary for this topic.

For example, if you’re working on logistic regression, many of the data analysis skills are the same as in linear regression—data cleaning and set up, model building and assessing fit, checking assumptions, etc. But there are a few, often minor differences. None are exactly the same as in a linear regression, but they are not a big leap, either.

Likewise, if you’re familiar and comfortable with using your statistical software for linear regression, it’s only a small step to learning how to use it for logistic. Yes, there are differences, but all you need to learn are those differences.

So at this stage, you’re going to learn all three components together for each new topic:

 

 1. Statistical Knowledge

2. Data Analysis Skills
3. Software Skills

Stage 3 Topics

With the methods at this stage, the only prerequisite is Linear Models. You don’t need to know any of these to learn any of the others.

Unless your job requires statistical analysis every day, you probably need half a dozen of these at most. Two or three is probably more reasonable.

Each of these links will take you to a Resource Page or Webinar on that topic where you can learn a lot more.