Cited by 236Teacher Education and AssessmentsEducational Assessment and ImprovementPsychometric Methodologies and Testing

An Argument Approach to Observation Protocol Validity

Bell, Courtney A., Gitomer, Drew H., McCaffrey, Daniel F., Hamre, Bridget K., Pianta, Robert C., Qi, Yi·2012·Educational Assessment

Abstract

This article develops a validity argument approach for use on observation protocols currently used to assess teacher quality for high-stakes personnel and professional development decisions. After defining the teaching quality domain, we articulate an interpretive argument for observation protocols. To illustrate the types of evidence that might compose a validity argument, we draw on data from a validity study of the Classroom Assessment Scoring System for secondary classrooms. Based on data from 82 Algebra classrooms, we illustrate how data from observation scores, value-added models, generalizability studies, and measures of teacher knowledge, student achievement, and teacher and student beliefs could be used to build a validity argument for observation protocols. Strengths and limitations of the validity argument approach as well as the issues the approach raises for observation protocol validity research are considered.

Integrity signals

Registry

Crossref · 10.1080/10627197.2012.715014

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

This paper’s full text isn’t openly available, 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?

  • Establishing the validity of inferences based on observation protocol scores requires a multifaceted array of evidence.

    “Establishing the validity of inferences based on observation protocol scores requires a multifaceted array of evidence, and studies along these lines have become more common in recent years.”

    From Making Inferences About Teacher Observation Scores Over Time (2019) · cites this paper as Bell et al., 2012

  • In prior studies using generalizability theory to decompose variance in observation protocol scores, there is an important hidden facet to the measurement procedure: the occasion or temporal location of the observation within the academic school year.

    “However, in all of these studies, it can be argued that there is an important ''hidden'' facet to the measurement procedure involved in the scoring of a classroom observation. This facet is the occasion or, more specifically, the temporal location of the observation within the academic school year.”

    From Making Inferences About Teacher Observation Scores Over Time (2019) · cites this paper as Bell et al., 2012

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bell, C. A., Gitomer, D. H., McCaffrey, D. F., Hamre, B. K., Pianta, R. C., & Qi, Y.
Affiliations
  • Educational Testing Service (US)
  • Rutgers, The State University of New Jersey (US)
  • RAND Corporation (US)
  • University of Virginia (US)
Venue
Educational Assessment
Published
2012-04
Volume
17
Issue
2-3
Pages
62-87
ISSN
  • 1062-7197 (ISSN-L)
  • 1532-6977
OpenAlex
W2085259499
Cited by
236
References
3
Citations by year
2026: 10 · 2025: 13 · 2024: 17 · 2023: 18 · 2022: 23 · 2021: 15 · 2020: 17 · 2019: 28 · 2018: 22 · 2017: 23 · 2016: 15 · 2015: 10 · 2014: 12 · 2013: 11 · 2012: 2
FWCI
54.21
Type
journal article
Language
en
Open access
closed
Locations
Educational Assessment (publishedVersion)
Topics
  • Social Sciences › Education › Teacher Education and Assessments
  • 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
Keywords
observation protocol, teacher quality assessment, validity argument, Classroom Assessment Scoring System, value-added models, teacher knowledge, academic performance, teacher beliefs, student beliefs, secondary education

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