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Descriptives Before Model Building
One approach to model building is to use all predictors that make theoretical sense in the first model. For example, a first model for determining ... Continue Reading
There is a bit of art and experience to model building. You need to build a model to answer your research question but how do you build a statistical ... Continue Reading
by Jeff Meyer, MPA, MBA Suppose you are asked to create a model that will predict who will drop out of a program your organization offers. You decide ... Continue Reading
How should I build my model? I get this question a lot, and it's difficult to answer at first glance--it depends too much on your particular ... Continue Reading
7 Practical Guidelines for Accurate Statistical Model Building
Model Building--choosing predictors--is one of those skills in statistics that is difficult to teach. It's hard to lay out the steps, because at ... Continue Reading
The practice of choosing predictors for a regression model, called model building, is an area of real craft. There are many possible strategies and ... Continue Reading
What It Really Means to Take an Interaction Out of a Model
When you’re model building, a key decision is which interaction terms to include. As a general rule, the default in regression is to leave them ... Continue Reading
One of the many decisions you have to make when model building is which form each predictor variable should take. One specific version of this ... Continue Reading
When we think about model assumptions, we tend to focus on assumptions like independence, normality, and constant variance. The other big ... Continue Reading
Pretty much all of the common statistical models we use, with the exception of OLS Linear Models, use Maximum Likelihood estimation. This includes ... Continue Reading
The LASSO model (Least Absolute Shrinkage and Selection Operator) is a recent development that allows you to find a good fitting model in the ... Continue Reading
by Jeff Meyer An “estimation command” in Stata is a generic term used for a command that runs a statistical model. Examples are regress, ANOVA, ... Continue Reading
Concepts you Need to Understand to Run a Mixed or Multilevel Model
Have you ever been told you need to run a mixed (aka: multilevel) model and been thrown off by all the new vocabulary? It happened to me when I ... Continue Reading
This one is relatively simple. Very similar names for two totally different concepts. Hierarchical Models (aka Hierarchical Linear Models or HLM) ... Continue Reading
No matter what statistical model you're running, you need to go through the same steps. The order and the specifics of how you do each step will ... Continue Reading
There are two ways to run a repeated measures analysis.The traditional way is to treat it as a multivariate test--each response is considered a ... Continue Reading
Hierarchical regression is a very common approach to model building that allows you to see the incremental contribution to a model of sets of ... Continue Reading
Series on Easy-to-Confuse Statistical Concepts
There are many statistical concepts that are easy to confuse. Sometimes the problem is the terminology. We have a whole series of articles on ... Continue Reading
Like any applied skill, mastering statistical analysis requires: 1. building a body of knowledge 2. adeptness of the tools of the trade (aka ... Continue Reading
Regression models are just a subset of the General Linear Model, so you can use GLM procedures to run regressions. It is what I usually use. But ... Continue Reading
Online Workshops Linear Models Interpreting (Even Tricky) Regression Coefficients The Craft of Statistical Analysis Free Webinars ... Continue Reading