HMM-derived task-specific and capacity parameters correlate with the corresponding CFA estimates, validating the daily-data model¶
Claim · All claims
Evidence · 1 study · associationalr2·q3·i3large
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person · recheck by 2026: 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 i3 ΔTS in the HMM correlated with TS in the CFA model (r = 0.78, p < 10−5), and βcap correlated with Cap (r = 0.45, p < 10−5) but not with TS (r = −0.01, p = 0.72). → Julia Ericson and Torkel Klingberg 2023
Evidence¶
Julia Ericson and Torkel Klingberg 2023¶
Julia Ericson and Torkel Klingberg. (2023). A dual-process model for cognitive training. npj Science of Learning. https://doi.org/10.1038/s41539-023-00161-2
q3 · i3 · associational · r2
Correlational analysis linking HMM parameters fitted to daily training data with individual CFA parameters for the same children. The article reports "ΔTS in the HMM was signi ficantly correlated with TS in the CFA model (r = 0.78, p <1 0−5)"; the printed correlation r = 0.78 corresponds to a large effect.
"We found that ΔTS in the HMM was signi ficantly correlated with TS in the CFA model (r = 0.78, p <1 0−5, Table 1) and slightly correlated with Cap (r = 0.21, p <1 0−5)."
Discussion¶
Related Claims¶
- Capacity improvement increased continuously throughout training while task-specific improvement occurred only between the first two test sessions — related
- Hidden Markov model of individual training curves shows task-specific improvement plateaued on average on the third day of training — related
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