Hierarchical linear modelling of student and school effects on academic achievement

Xin Ma, Don A. Klinger

Research output: Contribution to journalArticlepeer-review

161 Scopus citations


Hierarchical linear modelling (HLM) and data from the New Brunswick School Climate Study were used to examine student background, school context, and school climate effects on Grade 6 student achievement in mathematics, science, reading, and writing. Gender, socioeconomic status (SES), and Native ethnicity were significant predictors of academic achievement. Schools showed the smallest variation in reading, the largest in mathematics. School mean SES was significant in mathematics, reading, and writing achievement, as was disciplinary climate in mathematics, science, and writing. School size and parental involvement significantly affected only the relationship between mathematics achievement and individual SES.

Original languageEnglish
Pages (from-to)41-55
Number of pages15
JournalCanadian Journal of Education
Issue number1
StatePublished - 2000

Bibliographical note

Copyright 2020 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

  • Education


Dive into the research topics of 'Hierarchical linear modelling of student and school effects on academic achievement'. Together they form a unique fingerprint.

Cite this