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Search Results (search words: model building)

Blog Posts

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

Member Training: Model Building Approaches

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

Differences in Model Building Between Explanatory and Predictive Models

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

Model Building Strategies: Step Up and Top Down

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

What Is Specification Error in Statistical Models?

When we think about model assumptions, we tend to focus on assumptions like independence, normality, and constant variance. The other big assumption, ... Continue Reading

Overfitting in Regression Models

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 Remove an Interaction From a Model

When you’re model building, a key decision is which interaction terms to include. And which interactions to remove. As a general rule, the default ... Continue Reading

Simplifying a Categorical Predictor in Regression Models

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

What Are Nested Models?

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

Member Training: The LASSO Regression Model

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

Hierarchical Regression in Stata: An Easy Method to Compare Model Results

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

Confusing Statistical Term #4: Hierarchical Regression vs. Hierarchical Model

This one is relatively simple.  Very similar names for two totally different concepts. Hierarchical Models (aka Hierarchical Linear Models or HLM) ... Continue Reading

The Steps for Running any Statistical Model

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

Five Advantages of Running Repeated Measures ANOVA as a Mixed Model

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

Member Training: Hierarchical Regressions

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

Linear Regression Analysis – 3 Common Causes of Multicollinearity and What Do to About Them

Multicollinearity in regression is one of those issues that strikes fear into the hearts of researchers. You've heard about its dangers in statistics ... 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

The 3 Stages of Mastering Statistical Analysis

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

Other Pages

Linear Regression

 Online Workshops Linear Models Interpreting (Even Tricky) Regression Coefficients The Craft of Statistical Analysis Free Webinars ... Continue Reading

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