Claims

Shape search and N-back tasks show no sequence position effect in session-level analysis

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2025 · 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.

q3 i? For the shape search and N-back tasks, the model assuming no sequence position effect fit best. → Jia Yang 2025

Evidence

Jia Yang 2025

Jia Yang, Fang-Fang Yan, Tingting Wang, Zile Wang, Qingshang Ma, Jinmei Xiao, Xianyuan Yang, Zhong-Lin Lu & Chang-Bing Huang. (2025). Anterograde interference in multitask perceptual learning. npj Science of Learning. https://doi.org/10.1038/s41539-025-00312-7

q3 · i? · causal · r2

Session-by-session LMM model comparison in Experiment 1A found M1 best for both tasks: "For the shape search andN-back tasks, M1 was the bestfitting model, indicating no significant effect of sequence position" (Shape: p = 0.26; N-back: p = 0.30).

"For the shape search andN-back tasks, M1 was the bestfitting model, indicating no significant effect of sequence position"

Discussion

Page metadata
Field Value
type claim
id shape-nback-independent-of-sequence-position
title Shape search and N-back tasks show no sequence position effect in session-level analysis
description Shape search and N-back tasks show no sequence position effect in session-level analysis
status review
evidence_strength moderate
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-26
trust unverified — no one has confirmed this page's content
sources 1 — jia-yang-2025

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