The Measurement and Predictive Ability of Metacognition in Middle School Learners
Rayne Sperling,
Aaron Richmond,
Crystal Ramsay and
Michael Klapp
The Journal of Educational Research, 2012, vol. 105, issue 1, 1-7
Abstract:
The authors examined relations among components of metacognition from varying theoretical perspectives, explored the psychometric characteristics of known measures of metacognition, and examined the predictive strength of measures of metacognition for both science and overall academic achievement in 97 seventh-grade students. Findings indicated expected significant correlations between 2 measures of metacognition, the Junior Metacognitive Awareness Inventory (Sperling, Howard, Miller, & Murphy, 2002) and an open-ended version of Swanson's (1990) metacognition measure and a significant correlation between the Swanson measure and general science teacher ratings of students’ metacognition. Student measures demonstrated sound psychometric properties and both were significant predictors of science achievement. Additional analyses, recommendations for future research, and suggestions for practitioners and educators interested in measuring and promoting metacognition are provided.
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1080/00220671.2010.514690 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:vjerxx:v:105:y:2012:i:1:p:1-7
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/vjer20
DOI: 10.1080/00220671.2010.514690
Access Statistics for this article
The Journal of Educational Research is currently edited by Mary F. Heller
More articles in The Journal of Educational Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().