ERIC Number: EJ1090371
Record Type: Journal
Publication Date: 2013
Pages: 12
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1479-4802
EISSN: N/A
HLM in Cluster-Randomised Trials--Measuring Efficacy across Diverse Populations of Learners
Hegedus, Stephen; Tapper, John; Dalton, Sara; Sloane, Finbarr
Research in Mathematics Education, v15 n2 p177-188 2013
We describe the application of Hierarchical Linear Modelling (HLM) in a cluster-randomised study to examine learning algebraic concepts and procedures in an innovative, technology-rich environment in the US. HLM is applied to measure the impact of such treatment on learning and on contextual variables. We provide a detailed description of such methods, methodically analysing nested classroom data with respect to various outcome measures through HLM.
Descriptors: Randomized Controlled Trials, Student Diversity, Hierarchical Linear Modeling, Algebra, Mathematical Concepts, Technology Integration, Predictor Variables, Teaching Methods, Outcome Measures, Control Groups, Experimental Groups, Preservice Teacher Education, Mathematics Achievement, Pretests Posttests, Effect Size, Group Membership, Honors Curriculum
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305B070430