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The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

A Review and Comparison of Diagnostic Instruments to Identify Students’ Misconceptions in Science

Open access
Kaltakci Gurel, Derya, Eryilmaz, Ali, McDermott, Lillian C.·2015·EURASIA Journal of Mathematics, Science and Technology Education

Abstract

Different diagnostic tools have been developed and used by researchers to identify students' conceptions. The present study aimed to provide an overview of the common diagnostic instruments in science to assess students' misconceptions. Also the study provides a brief comparison of these common diagnostic instruments with their strengths and weaknesses. A total of 273 articles published (from the year 1980 to 2014) in main journals were investigated thoroughly through document analysis method. The study reveals interviews (53%), open-ended tests (34%), multiple-choice tests (32%) and multiple tier tests (13%) as the most commonly used diagnostic tools. However, each tool has some advantages as well as disadvantages over the others that should be kept in mind in their usages. A careful user of a diagnostic instrument such as a classroom teacher or a researcher would be aware of the diagnostic instruments and selects the most effective one for his/her purposes.

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Metadata

Authors
Kaltakci Gurel, D., Eryilmaz, A., & McDermott, L. C.
Venue
EURASIA Journal of Mathematics, Science and Technology Education
Published
2015-10-29
Volume
11
Issue
5
ISSN
  • 1305-8215 (ISSN-L)
  • 1305-8223
OpenAlex
W2472851532
Cited by
432
References
57
FWCI
59.51
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A Review and Comparison of Diagnostic Instruments to Identify Students’ Misconceptions in Science. https://app.cochat.ai/papers/10.12973/eurasia.2015.1369a
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Kaltakci Gurel, D., Eryilmaz, A., & McDermott, L. C. (2015). A Review and Comparison of Diagnostic Instruments to Identify Students’ Misconceptions in Science. EURASIA Journal of Mathematics, Science and Technology Education. https://doi.org/10.12973/eurasia.2015.1369a

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.