Eye-Movement Data on Passive Sentence Comprehension in Children Aged 6–10

67 participants, including Russian-speaking children aged 6–10 and adults, performed a sentence-picture matching task while their eye movements were tracked. The dataset, created by Olga V. Kruchinina and last updated in May 2026, likely contains measures of accuracy and oculomotor patterns for four sentence types. It is a small dataset of 15.7 KB.

Use Cases

• Modeling the developmental trajectory of incremental syntactic revision based on age-related changes in fixation patterns.
• Analyzing the dissociation between behavioral accuracy and online processing maturity in children.
• Investigating the role of morphosyntactic cues in real-time sentence comprehension.
• Comparing oculomotor signatures of thematic role revision across different age groups.

Strengths

• Includes data from 67 participants across three age groups, allowing for developmental comparisons.
• Focuses on a specific linguistic phenomenon (passive sentence comprehension) with minimized semantic cues.
• Data collection method (eye-tracking) provides a sensitive, real-time measure of cognitive processing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (15.7 KB), indicating limited scope and likely summary or aggregated results.

Provenance

Source

figshare, authored by Olga V. Kruchinina.

Collection Method

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

Time Range

null

Freshness

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

Geography

Data likely collected from Russian-speaking participants; specific location is unknown.