Cited by 22Meta-analysis and systematic reviewsPsychology Research and BibliometricsEducational Research and Methods

Summing Up: The Science of Reviewing Research Harvard University Press: Cambridge, MA, 1984, xiii+191 pp

J. Light, Richard, B. Pillemer, David·1986·Educational Researcher

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Registry

Crossref · 10.3102/0013189x015008016

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  • The review used standard tests to identify publication bias: funnel plot assessment, Begg and Mazumdar rank correlation, Egger's linear regression, and classic fail-safe N.

    “Therefore, the following standard tests were used to identify whether the present review suffered from publication bias, including: 1) assessing the funnel plot (J.Light & B. Pillemer, 1986); 2) computing the Begg & Mazumdar rank correlation (Begg & Mazumdar, 1994); 3) calculating Egger's linear regression (Egger et al., 1997); 4) conducting the classic fail-safe N test (Rosenthal, 1979).”

    From Exploring the Effectiveness of Flipped Classroom on STEM Student Achievement: A Meta-analysis (2024) · cites this paper as J.Light & B. Pillemer, 1986

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Authors
J. Light, R., & B. Pillemer, D.
Venue
Educational Researcher
Published
1986-10
Volume
15
Issue
8
Pages
16-17
ISSN
  • 0013-189X (ISSN-L)
  • 1935-102X
OpenAlex
W1998502622
Cited by
17
References
0
Citations by year
2026: 2 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 2 · 2020: 2 · 2016: 1
Type
book review
Language
en
Open access
closed
Locations
Educational Researcher (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Social Sciences › Education › Educational Research and Methods
Keywords
peer review, scholarly publishing, editorial process, scholarly communication

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.

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