Detecting noneffortful responses requires setting response time thresholds that separate effortful from noneffortful responses¶
Claim · All claims
Evidence · 1 study · associationalr?·q1
Currency · newest study 2021 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · overdue for a recheck since 2024: 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.
q1 i? Accurate identification of noneffortful responses depends on setting response time thresholds separating those responses from effortful ones. → James Soland 2021
Evidence¶
James Soland 2021¶
James Soland, Megan Kuhfeld, Joseph Rios. (2021). Comparing different response time threshold setting methods to detect low effort on a large-scale assessment. Large-scale Assessments in Education. https://doi.org/10.1186/s40536-021-00100-w
q1 · i? · associational · r?
A definitional/methodological statement from the abstract: the article states "one must set response time thresholds separating those responses from effortful ones" as a premise of its comparison of threshold methods.
"To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones."
Discussion¶
Related Claims¶
- Prior threshold-method comparison studies typically used simulated or small-scale data, or non-CAT large-scale data with few items — related
- Response-time threshold-setting methods for detecting noneffortful item responses were compared using reading scores from over 728,923 US students in 2,056 schools — related
- Threshold-setting methods are compared using reading scores from over 728,923 students on a computer-adaptive test of nearly 12,000 items — related
- Low examinee effort is a major threat to valid uses of many test scores — related
- CATs can have important advantages over conventional tests in identifying instances when examinees exhibit low effort — related
- Information-based rapid-guessing threshold methods set thresholds more reliably than methods based on response accuracy or visual inspection — a narrower finding that bears on this claim
- Unmotivated examinees present a major threat to the validity of scores in low-stakes testing programs — related
- The general effort-measurement process is illustrated with data from a large-scale assessment program
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
rt-thresholds-separate-noneffortful-responses |
title |
Detecting noneffortful responses requires setting response time thresholds that separate effortful from noneffortful responses |
description |
Detecting noneffortful responses requires setting response time thresholds that separate effortful from noneffortful responses |
status |
review |
evidence_strength |
weak |
newest_evidence |
2021 |
source_checked |
2026-10-20 |
recheck_by |
2024 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — james-soland-2021 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.