The use of hierarchical ANCOVA in curriculum studies

Show Mann Liou*, Chao Ying Joanne Peng


研究成果: 雜誌貢獻期刊論文同行評審


Many educational studies are carried out in intact settings, such as classrooms or groups in which individual data were collected before and after a treatment. Researchers advocate either the use of individual scores as the unit of analysis or class means. Both approaches suffer from conceptual and methodological limitations. In this article, the use of hierarchical ANCOVA for analyzing quasiexperimental data including baseline measures is designed and promoted. It is illustrated with a real-world data set collected from a curriculum study. Results showed that the hierarchical ANCOVA is a conceptually and methodologically sound approach, and is better than ANCOVA based on individual scores or ANCOVA based on class means. The potential of using hierarchical ANCOVA designs for curriculum studies is discussed in terms of statistical power and congruence with study plans.

頁(從 - 到)230-247
期刊Journal of Modern Applied Statistical Methods
出版狀態已發佈 - 2006

ASJC Scopus subject areas

  • 統計與概率
  • 統計、概率和不確定性


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