Early Identification of Reading Difficulties Using Heterogeneous Developmental Trajectories
By Christy Kim Boscardin, B. Muthén, D. Francis, Eva L. Baker. 2008
143 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/86525206b46f3bdeb88107a749b03e2fd6ac187e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- C. L. Burton
- Isaac R. Galatzer-Levy
- A. Warhurst
- Wen Luo
- Victor L. Willson
- Oi-man Kwok
- Sarah P. McGeown
- R. Norgate
In Education
In Statistics and Probability
- Wen Luo
- Isaac R. Galatzer-Levy
- Victor L. Willson
- C. L. Burton
- Oi-man Kwok
- Sarah P. McGeown
- Qi Chen
- G. Bonanno
Citations in the corpus
- General Growth Mixture Analysis with Antecedents and Consequences of Change (2010, unknown): “…of trajectory class membership in one developmental period for trajectory class membership in a subsequent development period (see, for example, Boscardin et al., 2008; and for a preventive intervention settings, see, Petras, Masyn, & Ialongo, 2008) and this work could be extended to the…”
- Exploring intrinsic and extrinsic reading motivation among very good and very poor readers (2012, background): “2008 ) and language skills and reading attainment (Kendeou et al.”
- Coping Flexibility, Potentially Traumatic Life Events, and Resilience: A Prospective Study of College Student Adjustment (2012, background): “This approach has been applied to a wide variety of phenomena in which it is not parsimonious to assume one continuous distribution, including drinking behavior among college students (Greenbaum, Del Boca, Darkes, Wang, & Goldman, 2005), childhood aggression (Schaeffer, Petras, Ialongo, Poduska, & K”
- The Impact of Ignoring a Level of Nesting Structure in Multilevel Growth Mixture Models: A Monte Carlo Study (2010, background): “Nevertheless, some researchers have analyzed their data using GMM without considering the higher level nesting structure (eg, schools) and have assumed independence between students (eg, Boscardin, Muthen, Francis, & Baker, 2008 ; D'Angiulli, Siegel, & Maggi, 2004 ).”