Bland-Altman analysis shows small bias between i-Read and NEO-IPIP scores for conscientiousness (−0.72) and neuroticism (1.29)¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2017 · 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.
q2 i? Bland-Altman bias between i-Read and NEO-IPIP is −0.72 units for conscientiousness and 1.29 units for neuroticism, both judged acceptable. → Omheni 2017
Evidence¶
Omheni 2017¶
Omheni, N., Kalboussi, A., Mazhoud, O., & Hadj Kacem, A. (2017). Computing of Learner’s Personality Traits Based on Digital Annotations. International Journal of Artificial Intelligence in Education, 27, 241-267. https://doi.org/10.1007/s40593-016-0124-x
q2 · i? · associational · r1
Agreement analysis with 100 volunteers comparing i-Read predictions to NEO-IPIP scores; bias values are raw unit differences, not standardized effect sizes.
"Figure 12 shows the bias value is -0.72 units. This means that, on average, the i-Read system measures 0.72 units more than the Neo-IPIP inventory."
Discussion¶
Related Claims¶
- Digital annotation traces can predict conscientiousness and neuroticism scores with reasonable accuracy — possibly the same claim (merge candidate)
- Conscientiousness is positively related to the number of textual annotation acts — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
bland-altman-agreement-iread-neoipip |
title |
Bland-Altman analysis shows small bias between i-Read and NEO-IPIP scores for conscientiousness (−0.72) and neuroticism (1.29) |
description |
Bland-Altman analysis shows small bias between i-Read and NEO-IPIP scores for conscientiousness (−0.72) and neuroticism (1.29) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2017 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — omheni-2017 |
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