Multilevel Modeling with Correlated Effects

By Jee-Seon Kim, Edward W. Frees. 2007

85 citations recorded by the source corpus.

Subfields: Education, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/80e45fc4a4a67a62255e91ba078c10e0bfcb67f8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Carla Rampichini
2. Leonardo Grilli

In Statistics and Probability

1. Carla Rampichini
2. Leonardo Grilli

Citations in the corpus

• The Role of Sample Cluster Means in Multilevel Models (2011, methodology): “The existence of two meaningful level 2 variances such as τ 2 Y |XBXW and τ 2 Y |X is a source of ambiguity: for example, when Kim and Frees (2007) state that a consequence of endogeneity is a severe underestimation of the level 2 variance, they implicitly refer to τ 2 Y |X .”
• On the Unnecessary Ubiquity of Hierarchical Linear Modeling (2017, unknown): “HLM is not robust to violations of this assumption (Bates, Castellano, Rabe-Hesketh, & Skrondal, 2014; Kim & Frees, 2007).”