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Cited by 358

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Investigating Classroom Environments in Taiwan and Australia With Multiple Research Methods

Aldridge, Jill M., Fraser, Barry J., Huang, Tai-Chu Iris·1999·The Journal of Educational Research

Abstract

Multiple research methods from different paradigms were used in this interpretive study to explore the nature of classroom environments in a cross-national study involving Taiwan and Australia. When English and Mandarin versions of a questionnaire assessing student perceptions of 7 dimensions of the classroom learning environment were administered to 50 classes in each country, data analysis supported the reliability and factorial validity of the questionnaire and revealed differences between Taiwanese and Australian classroom environments. The data provided a starting point from which other methods (such as observations, interviews, and narrative stories) were used to gain a more in-depth understanding of the classroom environments in each country. Findings are represented in the form of stories and interpretive commentaries.

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Metadata

Authors
Aldridge, J. M., Fraser, B. J., & Huang, T.-C. I.
Venue
The Journal of Educational Research
Published
1999-09-01
Volume
93
Issue
1
Pages
48-62
ISSN
  • 0022-0671 (ISSN-L)
  • 1940-0675
OpenAlex
W2054910818
Cited by
358
References
3
FWCI
27.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Investigating Classroom Environments in Taiwan and Australia With Multiple Research Methods. https://app.cochat.ai/papers/10.1080/00220679909597628
The paper
Aldridge, J. M., Fraser, B. J., & Huang, T.-C. I. (1999). Investigating Classroom Environments in Taiwan and Australia With Multiple Research Methods. The Journal of Educational Research. https://doi.org/10.1080/00220679909597628

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.