What is the difference between Clustered, Longitudinal, and Repeated Measures Data? You can use mixed models to analyze all of them. But the issues ... Continue Reading
Search Results (search words: repeated measures)
Blog Posts
An Example of Specifying Within-Subjects Factors in Repeated Measures
Some repeated measures designs make it quite challenging to specify within-subjects factors. Especially difficult is when the design contains two ... Continue Reading
Three Designs that Look Like Repeated Measures, But Aren’t
Repeated measures is one of those terms in statistics that sounds like it could apply to many design situations. In fact, it describes only one. A ... Continue Reading
Six Differences Between Repeated Measures ANOVA and Linear Mixed Models
As mixed models are becoming more widespread, there is a lot of confusion about when to use these more flexible but complicated models and when to use ... Continue Reading
Models for Repeated Measures Continuous, Categorical, and Count Data
Lately, I've gotten a lot of questions about learning how to run models for repeated measures data that isn't continuous. Mostly categorical. But ... Continue Reading
Why Mixed Models are Harder in Repeated Measures Designs: G-Side and R-Side Modeling
I have recently worked with two clients who were running generalized linear mixed models in SPSS. Both had repeated measures experiments with a ... Continue Reading
When Does Repeated Measures ANOVA not work for Repeated Measures Data?
Repeated measures ANOVA is the approach most of us learned in stats classes for repeated measures and longitudinal data. It works very well in certain ... Continue Reading
The Wide and Long Data Format for Repeated Measures Data
One issue in data analysis that feels like it should be obvious, but often isn't, is setting up your data. The kinds of issues involved ... Continue Reading
Analyzing Pre-Post Data with Repeated Measures or ANCOVA
One area in statistics where I see conflicting advice is how to analyze pre-post data. I've seen this myself in consulting. A few years ago, I ... Continue Reading
The Repeated and Random Statements in Mixed Models for Repeated Measures
"Because mixed models are more complex and more flexible than the general linear model, the potential for confusion and errors is higher." - Hamer ... Continue Reading
Approaches to Repeated Measures Data: Repeated Measures ANOVA, Marginal, and Mixed Models
In a recent post, I discussed the differences between repeated measures and longitudinal data, and some of the issues that come up in each one. I ... 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
What is the Purpose of a Generalized Linear Mixed Model?
If you are new to using generalized linear mixed effects models, or if you have heard of them but never used them, you might be wondering about the ... Continue Reading
Linear Mixed Models for Missing Data in Pre-Post Studies
In the past few months, I've gotten the same question from a few clients about using linear mixed models for repeated measures data. They want to ... Continue Reading
The Difference Between a Chi-Square Test and a McNemar Test
You may have heard of McNemar tests as a repeated measures version of a chi-square test of independence. This is basically true, and I wanted to show ... Continue Reading
Three Issues in Sample Size Estimates for Multilevel Models
If you've ever worked with multilevel models, you know that they are an extension of linear models. For a researcher learning them, this is both good ... Continue Reading
Sample Size Estimates for Multilevel Randomized Trials
If you learned much about calculating power or sample sizes in your statistics classes, chances are, it was on something very, very simple, like a ... Continue Reading
Member Training: Group Comparisons
How do you know which method to use when you want to compare groups? ... Continue Reading
Member Training: Interactions in Poisson and Logistic Regression
Interactions in statistical models are never especially easy to interpret. Throw in non-normal outcome variables and non-linear prediction functions ... Continue Reading
Member Training: The Link Between ANOVA and Regression
If you’ve used much analysis of variance (ANOVA), you’ve probably heard that ANOVA is a special case of linear regression. Unless you’ve seen why, ... Continue Reading
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Online Workshops
Currently Enrolling Introduction to Generalized Linear Mixed Models Instructor: Kim Love Stage: 4, Advanced Models Software: R, SPSS, ... Continue Reading
Data Analysis Practice and Skills
Resources to improve your data analysis practice and skills As a data analyst, it's not enough to understand statistics or to be able to use the ... Continue Reading
Statistical Consulting Services
Hourly Consulting For when you need guidance and advice for a statistical plan or analysis. Perfect if you have: A need for an ... Continue Reading
R
learn R The statistical programming language R is becoming a popular means for analyzing data. But it’s not always easy to use. We have a number of ... Continue Reading
Logistic Regression
logistic regression resources Listed below are workshops, trainings, and articles to help you learn logistic regression. Logistic regression is an ... Continue Reading
Mixed and Multilevel Models
mixed and multilevel models resources Listed below are workshops, trainings, and articles to help you learn Mixed, Hierarchical, and Multilevel ... Continue Reading
Analysis of Variance and Covariance
analysis of variance and covariance resources Listed below are workshops, trainings, and articles to help you learn Analysis of Variance (ANOVA) and ... Continue Reading
Missing Data
missing data resources I don't need to tell you, missing data stinks. And frankly, it's in just about every data set. These days, though, there are ... Continue Reading