Eye-Tracking Data on Passive Sentence Comprehension in Russian-Speaking Children Aged 6–10

Russian-speaking children aged 6–7 years (n=16), 8–10 years (n=16), and adults (n=35) participated in an eye-tracking sentence-picture matching task. The dataset, authored by Olga V. Kruchinina and shared on figshare in May 2026, likely contains results from linear mixed models analyzing accuracy and oculomotor patterns across four sentence types.

Use Cases

• Modeling age-related trajectories of syntactic comprehension based on behavioral accuracy data.
• Analyzing oculomotor signatures of incremental sentence processing based on fixation patterns.
• Comparing online processing strategies (e.g., 'wait-and-listen' vs. word-by-word revision) across development.
• Investigating the dissociation between behavioral accuracy and underlying processing maturity mentioned in the results.

Strengths

• Includes data from three distinct age groups (6–7, 8–10, adults) for developmental comparison.
• Uses a controlled experimental design minimizing semantic cues to isolate morphosyntactic processing.
• Applies linear mixed models treating age as continuous for fine-grained trajectory analysis.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Sample size is relatively small (16 participants per child group, 35 adults).

Provenance

Source

figshare

Collection Method

Eye-tracking in a sentence-picture matching task with Russian-speaking participants.

Time Range

Data collection timeframe is not specified.

Freshness

Last updated 2026-05-08 05:51:37; freshness should be verified.

Geography

Data is from Russian-speaking participants; specific geographic location is not provided.