Issues in Evaluating Model Fit With Missing Data

By Adam Davey. 2005

89 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c1e49cb2ee63c9ffd463eccfe6bb006b3f34680a

How researchers see this paper

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

In Economics and Econometrics

1. Mijke Rhemtulla
2. Victoria Savalei

In Management Science and Operations Research

1. Mijke Rhemtulla
2. Victoria Savalei
3. Dexin Shi
4. Carl F. Falk
5. Albert Maydeu-Olivares
6. David B. Flora
7. Yves Rosseel
8. C. Distefano

In Statistics and Probability

1. Mijke Rhemtulla
2. Victoria Savalei
3. Carl F. Falk
4. Paul T. von Hippel
5. David B. Flora
6. J. Veale
7. Milica Miočević
8. R. van de Schoot

Citations in the corpus

• On Obtaining Estimates of the Fraction of Missing Information From Full Information Maximum Likelihood (2012, background): “However, global measures are difficult to interpret, and methodologists have instead advised practitioners to report estimates of the fraction of missing information for individual parameters (Bodner, 2008; Davey et al., 2005; Enders, 2010; Schafer, 1997), defined next.”