Cited by 603EFL/ESL Teaching and LearningSecond Language Acquisition and LearningInnovative Teaching and Learning Methods

The Metacognitive Awareness Listening Questionnaire: Development and Validation

Vandergrift, Larry, Goh, Christine C. M., Mareschal, Catherine J., Tafaghodtari, Marzieh H.·2006·Language Learning

Abstract

This article describes the development and validation of a listening questionnaire designed to assess second language (L2) listeners' metacognitive awareness and perceived use of strategies while listening to oral texts. The process of instrument development and validation is described, along with a review of the relevant literature related to metacognition and learners' regulation of listening comprehension strategies. An exploratory factor analysis of the responses of a large sample ( N = 966) of language learners and a subsequent confirmatory factor analysis with another large but different sample ( N = 512) resulted in a 21‐item instrument with robust psychometric properties. Five distinct factors emerged: problem‐solving, planning and evaluation, mental translation, person knowledge, and directed attention. The reliability and factorial validity of the instrument are presented along with evidence for a statistically significant relationship between student response on the instrument and L2 listening comprehension success. The article concludes with a discussion of the potential uses of the Metacognitive Awareness Listening Questionnaire (MALQ).

Integrity signals

Registry

Crossref · 10.1111/j.1467-9922.2006.00373.x

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • With colleagues, Larry Vandergrift created and developed the Metacognitive Awareness of Listening Questionnaire (MALQ), which remains an important and relevant instrument in research on metacognition and listening.

    “Avec ses collègues, il a créé et développé le Metacognitive Awareness of Listening Questionnaire (MALQ ; Vandergrift, Goh, Mareschal et Tafaghodtari, 2006 ) qui s'avère à ce jour un instrument important et pertinent en recherche sur la métacognition et l'écoute.”

    From Introduction au numéro spécial (2019) · cites this paper as Vandergrift, Goh, Mareschal et Tafaghodtari, 2006

Cites

Flagged first, then by citations

Authors
Vandergrift, L., Goh, C. C. M., Mareschal, C. J., & Tafaghodtari, M. H.
Affiliations
  • University of Ottawa (CA)
  • Nanyang Technological University (SG)
Corresponding author
Vandergrift, Larry
Venue
Language Learning
Publisher
Wiley
Published
2006-08-04
Volume
56
Issue
3
Pages
431-462
ISSN
  • 0023-8333 (ISSN-L)
  • 1467-9922
OpenAlex
W2169077375
Cited by
603
References
4
Citations by year
2026: 26 · 2025: 46 · 2024: 45 · 2023: 44 · 2022: 48 · 2021: 41 · 2020: 31 · 2019: 26 · 2018: 32 · 2017: 46 · 2016: 50 · 2015: 30 · 2014: 43 · 2013: 33 · 2012: 22
FWCI
42.36
Type
journal article
Language
en
Open access
closed
Locations
  • Language Learning (publishedVersion)
  • NIE Digital Repository (National Institute of Education, Nanyang Technological University) (submittedVersion)
Topics
  • Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
Metacognitive Awareness Listening Questionnaire, metacognitive awareness, second language listening, listening comprehension strategies, oral texts, instrument development, psychometric validation, factor analysis, directed attention, mental translation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review