Covariance Structure Models for Fixed and Random Effects

By J. Teachman, Greg J. Duncan, W. J. Yeung, Dan M. Levy. 2001

52 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/daa7828fcfb40644ec875692ff99baa90a6795eb

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. Daniel F McCaffrey
2. David J. Brady
3. J. R. Lockwood

In Statistics and Probability

1. J. R. Lockwood
2. Daniel F McCaffrey
3. David J. Brady
4. Elizabeth A. Stuart
5. Greg Ridgeway
6. S. Corcoran
7. J. Supovitz
8. Joseph A. Martineau

Citations in the corpus

• The Welfare State and Relative Poverty in Rich Western Democracies, 1967-1997 (2005, background): “Recently, methodologists have demonstrated that the Bayesian Information Criterion (BICʹ) can be used to select between techniques (Beck and Katz 2001; Teachman et al. 2001).”
• The Politics of Poverty: Left Political Institutions, the Welfare State, and Poverty (2003, methodology): “BIC ́ very strongly prefers RE over FE in all models (see Beck & Katz 2001; Teachman et al. 2001).”
• Controlling for Individual Heterogeneity in Longitudinal Models, with Applications to Student Achievement (2007, background): “Similarly, covariance structure modeling approaches (5; 12; 46) are well-suited to handling cases where factors are related to measurements in time-varying ways.”