Training response times rise with lexical categorization uncertainty and fall across sessions, but a reduction of the uncertainty effect across sessions appears only in Experiment 1¶

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q3
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? In all three experiments, lexical decision response times significantly increased with LCM-estimated lexical categorization uncertainty and significantly decreased across training sessions. → Benjamin Gagl & Klara Gregorová 2024 q3 i? Only in Experiment 1 could the article identify a significant reduction of the lexical categorization uncertainty effect with training session; the interactions in Experiments 2 and 3 were not significant. → Benjamin Gagl & Klara Gregorová 2024 (2)

Evidence¶

Benjamin Gagl & Klara Gregorová 2024¶

Benjamin Gagl & Klara Gregorová. (2024). Investigating lexical categorization in reading based on joint diagnostic and training approaches for language learners. npj Science of Learning 9:29. https://doi.org/10.1038/s41539-024-00237-7

q3 · i? · causal · r2

Linear mixed-model analysis of training-session response times, with participant and stimulus as crossed random effects. The uncertainty fixed effects were 0.16/0.12/0.12 with t values 11.32/10.02/9.78 in Experiments 1–3; session effects were also significant (FE = −0.07/−0.04/−0.03).

"in all three experi- ments, we found a signi ficant effect of the LCM estimated lexical cate- gorization uncertainty (Fixed effect: FEExp.1/2/3 = 0.16/0.12/0.12; Standard error: SE Exp.1/2/3 = 0.01/0.01/0.01; t value: tExp.1/2/3 = 11.32/10.02/9.78)"

Benjamin Gagl & Klara Gregorová 2024 (2)¶

Benjamin Gagl & Klara Gregorová. (2024). Investigating lexical categorization in reading based on joint diagnostic and training approaches for language learners. npj Science of Learning 9:29. https://doi.org/10.1038/s41539-024-00237-7

q3 · i? · causal · r2

The uncertainty × session interaction from the same mixed-model analyses was significant only in Experiment 1 (FE = −0.21, t = 2.59); Experiments 2 and 3 printed estimates of −0.00 and −0.01 with t = 0.09 and 1.581, not significant.

"Note that only in Experiment 1 we could identify a signi fication reduction of the lexical categorization uncertainty effect with a training session (FE Exp.1/2/3 = −0.21/−0.00/ −0.01; SEExp.1/2/3 = 0.02/0.01/0.01; tExp.1/2/3 = 2.59/0.09/1.581)"

Discussion¶

Related Claims¶

• Lexical categorization training significantly increases reading speed in adult non-native German learners, replicated across three experiments — related
• LCM-related features, especially lexical categorization uncertainty, are the most important word-characteristic predictors of training success — related
• An individualized machine-learning diagnostic using LCM-based features predicts lexical categorization training benefits with moderate-to-good accuracy — related