Claims

Coding in the review was non-exclusive, and data from multiple experiments within one paper were separated by semicolons and averaged before computing corpus-level means and medians

Claim · All claims
Evidence · 1 study (2 entries) · review r? · q1
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q1 i? Coding categories were not mutually exclusive; topics could be marked in multiple categories. → Allison Zengilowski 2020 q1 i? Multi-experiment sample sizes were averaged before calculating overall corpus mean and median sample sizes. → Allison Zengilowski 2020 (2)

Evidence

Allison Zengilowski 2020

Allison Zengilowski, Brendan Schuetze, Brady Nash, Diane Schallert. (2020). Coding Notes for “A Critical Review of the Refutation Text Literature: Methodological Confounds, Theoretical Problems, and Possible Solutions”. Version 2. https://scholar.google.com/scholar?q=%22A+Critical+Review+of+the+Refutation+Text+Literature%22

q1 · i? · review · r?

The authors describe their coding scheme for the review corpus, stating that "Coding reported here is not necessarily exclusive" and giving scientific and socio-political topics as an example of dual coding.

"Coding reported here is not necessarily exclusive. For example, refutation topics could be both scientific and socio-political and would be marked in both categories."

Allison Zengilowski 2020 (2)

Allison Zengilowski, Brendan Schuetze, Brady Nash, Diane Schallert. (2020). Coding Notes for “A Critical Review of the Refutation Text Literature: Methodological Confounds, Theoretical Problems, and Possible Solutions”. Version 2. https://scholar.google.com/scholar?q=%22A+Critical+Review+of+the+Refutation+Text+Literature%22

q1 · i? · review · r?

The authors explain that a semicolon separates data from multiple experiments in one paper, so a sample size of “100; 50” represents two experiments, and these were "averaged before calculating the overall mean and median".

"Studies with multiple experiment sample sizes were averaged before calculating the overall mean and median sample sizes for the full corpus."

Discussion

Page metadata
Field Value
type claim
id refutation-text-coding-conventions-multi-experiment
title Coding in the review was non-exclusive, and data from multiple experiments within one paper were separated by semicolons and averaged before computing corpus-level means and medians
description Coding in the review was non-exclusive, and data from multiple experiments within one paper were separated by semicolons and averaged before computing corpus-level means and medians
status review
evidence_strength weak
newest_evidence 2020
generated by process:wiki-ingest on 2026-10-22
trust unverified — no one has confirmed this page's content
sources 2 — allison-zengilowski-2020, allison-zengilowski-2020-2

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