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Cited by 294

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

How to Construct Achievement Tests to Assess Comprehension

Anderson, Richard C.·1972·Review of Educational Research

Abstract

The thesis of this paper is that educational research workers have not yet learned how to develop tests that meet the primitive first requirement for a system of measurement, namely that there is a clear and consistent definition of the things being counted. By achievement I mean a set of questions asked to ascertain what a person has learned from exposure to instruction. There will be in the following a tacit restriction to paper-and-pencil test questions expressed in a natural language, though much of the discussion can be interpreted more broadly. The purpose of this paper is to propose the distinctions necessary to determine whether a person has comprehended an instructional communication, to outline procedures for constructing test questions based on these distinctions, and to show that test questions derived according to the procedures give rise to orderly, sensible data. The starting point for the analysis will be the now-classic Taxonomy of Educational Objectives (Bloom, et al, 1956), and I shall rely on the important recent work of Bormuth (1970) and Hively (1970). Finally, a number of articles in the recent literature will be reviewed to determine how investigators currently construct tests and what they report about these tests.

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Metadata

Authors
Anderson, R. C.
Venue
Review of Educational Research
Published
1972
Volume
42
Issue
2
Pages
145
ISSN
0034-6543 (ISSN-L)
OpenAlex
W2128126480
Cited by
294
References
42
FWCI
234.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How to Construct Achievement Tests to Assess Comprehension. https://app.cochat.ai/papers/10.2307/1170014
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Anderson, R. C. (1972). How to Construct Achievement Tests to Assess Comprehension. Review of Educational Research. https://doi.org/10.2307/1170014

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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.