The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Alternatives in Language Assessment
Abstract
Language testing differs from testing in other content areas because language teachers have more choices to make. The purpose of this article is to help language teachers decide what types of language tests to use in their particular institutions and classrooms for their specific purposes. The various kinds of language assessments are classified into three broad categories: (a) selected-response assessments (including true-false, matching, and multiple-choice assessments); (b) constructedresponse assessments (including fill-in, short-answer, and performance assessments); and (c) personal-response assessments (including conference, portfolio, and self- or peer assessments). For each assessment type, we provide a clear definition and explore its advantages and disadvantages. We end the article with a discussion of how teachers can make rational choices among the various assessment options by thinking about (a) the consequences of the washback effect of assessment procedures on language teaching and learning, (b) the significance of feedback based on the assessment results, and (c) the importance of using multiple sources of information in making decisions based on assessment information.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Self-assessment of language proficiency: rationale and applications
Oscarson, M. (1989) · Language Testing · doi:10.1177/026553228900600103 · Cited by 247
Performance‐Based Assessment: Implications of Task Specificity
Linn, R. L., & Burton, E. (1994) · Educational Measurement: Issues and Practice · doi:10.1111/j.1745-3992.1994.tb00778.x · Cited by 152
Cited by
Constructing a language assessment knowledge base: A focus on language assessment courses
Inbar-Lourie, O. (2008) · Language Testing · doi:10.1177/0265532208090158 · Cited by 355
Metadata
- Authors
- Brown, J. D., & Hudson, T.
- Venue
- TESOL Quarterly
- Publisher
- JSTOR
- Published
- 1998
- Volume
- 32
- Issue
- 4
- Pages
- 653
- ISSN
- 0039-8322 (ISSN-L)
- OpenAlex
- W2138032061
- Cited by
- 456
- References
- 2
- FWCI
- 38.19
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Alternatives in Language Assessment. https://app.cochat.ai/papers/10.2307/3587999
- The paper
- Brown, J. D., & Hudson, T. (1998). The Alternatives in Language Assessment. TESOL Quarterly. https://doi.org/10.2307/3587999
Data sources
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.