Claims

Detection accuracy is more internally consistent within phishing and within legitimate emails (α = 0.77 each) than across all emails (α = 0.59)

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: tool and model accuracy changes quickly

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.

q3 i? Cronbach's alpha for detection accuracy was higher for legitimate (α = 0.77) and phishing (α = 0.77) emails separately than for all emails (α = 0.59). → Casey Inez Canfield & Baruch Fischhoff & Alex Davis 2019

Evidence

Casey Inez Canfield & Baruch Fischhoff & Alex Davis 2019

Casey Inez Canfield & Baruch Fischhoff & Alex Davis. (2019). Better beware: comparing metacognition for phishing and legitimate emails. Metacognition and Learning. https://doi.org/10.1007/s11409-019-09197-5

q3 · i? · associational · r2

Reliability analysis of detection accuracy across the pooled sample, compared with similar internal consistency observed by Kleitman et al. (α = 0.81 legitimate, α = 0.80 phishing). The article states these differences support analyzing phishing and legitimate emails separately.

"Cronbach’s alpha for detection accuracy was higher for legitimate ( α = 0.77) and phishing (α = 0.77) emails considered separately, than for all the emails ( α = 0.59), indicating greater consistency within the two categories than overall."

Discussion

Page metadata
Field Value
type claim
id cronbach-alpha-higher-within-email-categories
title Detection accuracy is more internally consistent within phishing and within legitimate emails (α = 0.77 each) than across all emails (α = 0.59)
description Detection accuracy is more internally consistent within phishing and within legitimate emails (α = 0.77 each) than across all emails (α = 0.59)
status review
evidence_strength moderate
newest_evidence 2019
recheck_by 2022
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — casey-inez-canfield-baruch-fischhoff-alex-davis-2019

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