Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 366

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Measuring Instructional Practice: Can Policymakers Trust Survey Data?

Mayer, Daniel P.·1999·Educational Evaluation and Policy Analysis

Abstract

Policymakers' new interest in reforming teaching has created a demand for accurate data on instructional practice. Most such data come from teacher surveys, although the accuracy of these surveys in assessing practice is virtually unknown. This exploratory study examines the reliability and validity of using a survey to gauge the percentage of time that algebra teachers use practices that are consistent with professional standards for teaching mathematics. A 13-item composite measuring the frequency with which teachers use these practices had a test-retest reliability of .69 based on two waves of survey data collected four months apart, In addition, there was a .85 correlation between a composite based on survey data and a parallel composite based on classroom observations. Both sets of results suggest that the composite is quite reliable, and the second set of results suggests that it has some validity: This composite fails, however, to capture the quality with which teachers engage in reform practices. In addition, the results indicate that teachers do not reliably report how much time they spend using one practice or another. This suggests that the trend of presenting individual indicators, rather than composite indicators, in state and national reports may be misguided. More research should be done to improve the reliability and validity of both.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/1164545

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 366

Metadata

Authors
Mayer, D. P.
Venue
Educational Evaluation and Policy Analysis
Published
1999
Volume
21
Issue
1
Pages
29
ISSN
0162-3737 (ISSN-L)
OpenAlex
W2087583701
Cited by
366
References
1
FWCI
41.55
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

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.