One question that seems to come up pretty often is: What is the difference between logistic and probit regression? Well, let’s start with how they’re the same: Both are types of generalized linear models. This means they have this form: Both can be used for modeling the relationship between one or more numerical or categorical […]| The Analysis Factor
I see most researchers struggling with statistical analysis at this level. And you’ll see it’s a big one. As is true at each stage, this one is composed of three components. Statistical Knowledge: Linear Models in its Entirety Data Analysis Skills Software Skills: One Statistical Software Until its Easy Luckily, they go together, so it’s […]| The Analysis Factor
The term “non-parametric” has come to imply that we don’t need to make any assumptions about the specific distribution of our residuals, but it certainly doesn’t mean that there are no assumptions at all.| The Analysis Factor
There are many types and examples of ordinal variables: percentiles, ranks, likert scale items, to name a few. In this webinar we’re going to lay out all the options and when each is reasonable. There are more options than most people realize.| The Analysis Factor
You may have heard of McNemar tests as a repeated measures version of a chi-square test of independence. This is basically true, but they test different hypotheses.| The Analysis Factor
Logistic regression is one of the most useful tools you can have in your statistical tool box.| The Craft of Statistical Analysis