Self-Paced Reading and Maze Experiment Reaction Times for Noun Phrase Parsing

Reaction time data from self-paced reading and grammatical maze experiments investigating word order asymmetries in noun phrases. The data were collected via the Gorilla online platform and deposited by author Klaus Abels to support a parsing-based account of Greenberg's Universal 20. The dataset was last updated on July 5, 2026.

Use Cases

• Modeling incremental parsing difficulty based on reaction time data
• Testing hypotheses about the missing-filler effect in sentence processing
• Analyzing the relationship between verb transitivity and processing of heavy-XP shift
• Investigating typological word order patterns through experimental psycholinguistic data

Strengths

• Data originates from controlled self-paced reading and maze paradigm experiments
• Replicates and extends earlier findings by Staub and colleagues (2006)
• Last updated date is explicitly provided (2026-07-05)

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count and file size are unknown, which may limit suitability assessment
• Data may reflect specific experimental biases inherent to the Gorilla platform and participant pool

Provenance

Source

DataverseNO Harvested Dataverse

Collection Method

Collected via the Gorilla online experimental platform

Freshness

Last updated 2026-07-05 10:10:19