Claims

In the review's coding, equal total and per-condition sample sizes signalled either a correlational study or a repeated-measures experiment, and repeated measures were coded when a pretest entered analysis or a within-subjects design was used

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? Equal total and per-condition sample size indicated a correlational study or a repeated-measures design. → Allison Zengilowski 2020 q1 i? Repeated measures were coded when researchers incorporated a pretest into post-test analyses or used within-subjects designs; one study's GPA covariate was coded similarly despite no pretest. → 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?

A coding convention stated in the notes: equal total and per-condition sample sizes "represents either a correlational study" or a repeated-measures experiment in which participants experienced both conditions.

"If total sample size is equal to sample size per condition, then that represents either a correlational study, where no experimental treatment was assigned, or a repeated-measures experiment where participants experienced both treatment and control conditions."

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 notes define repeated-measures coding as applying when a pretest entered analysis of post-test differences or a within-subjects design was used, with the Diakidoy et al. (2003) GPA covariate as a coded exception.

"For one study (Diakidoy et al., 2003), GPA was used similarly as a covariate, and thus was coded as using repeated measures despite not including a pretest in their design."

Discussion

Page metadata
Field Value
type claim
id refutation-text-sample-size-design-coding
title In the review's coding, equal total and per-condition sample sizes signalled either a correlational study or a repeated-measures experiment, and repeated measures were coded when a pretest entered analysis or a within-subjects design was used
description In the review's coding, equal total and per-condition sample sizes signalled either a correlational study or a repeated-measures experiment, and repeated measures were coded when a pretest entered analysis or a within...
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

Frontmatter is the page's machine-readable record — see the Schema & Guide.