Multivariate longitudinal methods for studying developmental relationships between depression and academic achievement

By Kevin J. Grimm. 2007

125 citations recorded by the source corpus.

Subfields: Clinical Psychology, Education, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e743cff8a8b7c898a7d0975ab16988172e7c5020

How researchers see this paper

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

In Clinical Psychology

1. J. Mcardle
2. J. Obradović
3. Keith B Burt
4. Kevin J. Grimm
5. A. Masten

In Education

1. J. Mcardle
2. J. Obradović
3. Keith B Burt
4. Kevin J. Grimm
5. A. Masten

In Management Science and Operations Research

1. Kevin J. Grimm
2. Keith B Burt
3. J. Obradović
4. J. Mcardle
5. Satoshi Usami
6. M. Voelkle
7. Huy P Phan
8. Chia-huei Wu

Citations in the corpus

• The construct of psychophysiological reactivity: Statistical and psychometric issues (2013, background): “Relatedly, bivariate LGC models specify intercept and slope/change factors for two constructs; an example looking at depression and academic achievement that includes comparison to other latent methods is provided by Grimm (2007).”
• Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data (2010, background): “The structural-dynamic models discussed here represent only a sample of the mathematical and statistical models appropriate for longitudinal data and the choice of longitudinal models should be based on the specific research question under investigation (see Grimm, 2007 ).”