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Results tagged with hierarchical-clustering
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Hierarchical cluster analysis is a method of cluster analysis which builds, by steps, a hierarchy of clusters, a dendrogram. Most popular is agglomerative hierarchical clustering (HAC) which starts from individual objects and collects them into bigger and bigger clusters.
3
votes
Accepted
Multilevel Modeling: Clustering by both individual and time, is this okay?
This seems like a textbook definition of a two-way error components model in which you believe there are both person-specific and time-specific influences on the outcome. However, person and time are …
- 5,880
1
vote
Interaction in Hierarchical Regression
Welcome to the site, StudentY. The key thing to remember with interactions is that in a model with two interacting variables, the "main effects" coefficients for those variables are their coefficient …
- 5,880
1
vote
Gain scores as an outcome in HLM?
You have a couple of options with two time point data.
Your gain score idea could work. When you create a gain score and
then add the time 1 variable to your regression model with your
treatment vari …
- 5,880
1
vote
Accepted
About adding random effects in Multilevel (HLM) analysis
TLDR: As I noted in my comment, you should specify the lower level variable's slope as varying randomly across higher level units. There are at least two reasons for this. The first is conceptual and …
- 5,880
7
votes
Accepted
Conditional intraclass correlation (ICC) from a linear mixed model as evidence for test-rete...
Yes, you can do this and interpret it as you think. I have read about such an interpretation in the second chapter of Sophia Rabe-Hesketh and Anders Skrondal's Multilevel and Longitudinal Modeling usi …
- 5,880