Cited by 43Educational Assessment and ImprovementPsychometric Methodologies and TestingTeacher Education and Assessments

Validity in Action: Lessons From Studies of Data Use

Open access
Moss, Pamela A.·2013·Journal of Educational Measurement

Abstract

Studies of data use illuminate ways in which education professionals have used test scores and other evidence relevant to students' learning—in action in their own contexts of work—to make decisions about their practice. These studies raise instructive challenges for a validity theory that focuses on intended interpretations and uses of test scores as Kane's (this issue) does. This commentary explores implications of data use studies for elaborating Kane's approach to validation to accommodate the ways test scores are used with other sources of evidence to address users' questions.

Integrity signals

Registry

Crossref · 10.1111/jedm.12003

Cites

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 19 · Cited by 43

Authors
Moss, P. A.
Affiliations
University of Michigan (US)
Corresponding author
Moss, Pamela A.
Venue
Journal of Educational Measurement
Publisher
Wiley
Published
2013-03
Volume
50
Issue
1
Pages
91-98
ISSN
  • 0022-0655 (ISSN-L)
  • 1745-3984
OpenAlex
W1539354900
Cited by
43
References
19
Citations by year
2026: 1 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 8 · 2020: 4 · 2019: 4 · 2018: 1 · 2017: 6 · 2016: 4 · 2015: 4 · 2014: 2
FWCI
7.31
Type
journal article
Language
en
Open access
Locations
  • Journal of Educational Measurement (publishedVersion)
  • Deep Blue (University of Michigan) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Education › Teacher Education and Assessments
Keywords
test score validity, data utilization, educational decision-making, educational testing

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