Cultura y Educacion
Volume 29, Issue 3, 2017, Pages 619-665
Using multilevel regression to examine hierarchical data: investigating differences in reading performance between immigrant and native-born children [El uso de la regresión multinivel en el examen de datos jerárquicos: un estudio sobre las diferencias existentes en el rendimiento en la lectura entre niños de origen inmigrante y niños nativos] (Article)
Heck R.H.* ,
Reid T.
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a
University of Hawai'i at Manoa, College of Education, Honolulu, HI, United States
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b
University of Hawai'i at Manoa, College of Education, Honolulu, HI, United States
Abstract
A persistent problem in examining culture and education is the entanglement of individual and group aspects of norms, beliefs and behaviour. The challenge often concerns the proper specification and testing of theories about how such group and individual processes work with methods that can address the complexity of hierarchical data sets. Multilevel modelling is an attractive analytic approach for studying individual and group processes in educational settings because it facilitates the incorporation of substantive theory about how such processes work within the clustered sampling schemes typical of educational data. In this article, we illustrate how to incorporate two-level multilevel regression modelling into an example investigation of the reading achievement of immigrant students who receive English language services versus their native-born peers who do not receive these services. We conclude with a few ways in which multilevel modelling can enhance the investigation of multilevel theories regarding how cultural and organizational processes work in educational research. © 2017 Fundacion Infancia y Aprendizaje.
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Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037376403&doi=10.1080%2f11356405.2017.1367167&partnerID=40&md5=de506f06d6cbb40d329b4ce12c10669e
DOI: 10.1080/11356405.2017.1367167
ISSN: 11356405
Cited by: 2
Original Language: English; Spanish