Clustering Upper Level Units in Multilevel Models for Ordinal Data
| Autor: | Leonardo Grilli, Agnese Panzera, Carla Rampichini |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Ordinal data Computer science Multilevel model Random effects model 01 natural sciences European Social Survey 010104 statistics & probability 03 medical and health sciences 030104 developmental biology Statistics Data analysis Ordered logit 0101 mathematics Cluster analysis Unsupervised clustering |
| Zdroj: | Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783319557076 |
| Popis: | We consider an explorative method for unsupervised clustering of upper level units in a two-level hierarchical setting. The idea lies in applying a density-based clustering algorithm to the predicted random effects obtained from a multilevel cumulative logit model. We illustrate the proposed approach throughout the analysis of data from European Social Survey about political trust in European countries. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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