Anxiety and Consecutive Interpreting Data from 30 Participants
by Zhang, Siqi / Harvard Dataverse·Updated 12d ago
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Description
Zhang, Siqi's dataset contains anonymized data from 30 participants for a study on anxiety and consecutive interpreting. The data includes Interpreting Anxiety Scale scores, heart rate measurements before, during, and after tasks, working memory capacity scores, and interpreting performance scores. It was uploaded to Harvard Dataverse and last updated on 2026-06-23.
Use Cases
Correlating interpreting anxiety scores with task performance metrics like information completeness and fluency.
Analyzing heart rate variability as a physiological indicator of stress before, during, and after an interpreting task.
Investigating the role of working memory capacity as a moderating factor between anxiety and interpreting outcomes.
Modeling the relationship between course final scores and specific interpreting performance sub-scores.
Strengths
Data from 30 participants provides a basis for quantitative analysis.
Includes multi-modal measurements: self-reported anxiety scores, physiological heart rate data, and multiple performance scores.
Anonymized participant data suggests adherence to basic ethical research standards.
Limitations
Row count and file size are unknown, limiting suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Data may reflect bias inherent to the specific participant pool and study design.
Provenance
Source
Harvard Dataverse, uploaded by author Zhang, Siqi.
Collection Method
Likely collected via a controlled study involving interpreting tasks and psychological/physiological measurements.
Freshness
Last updated 2026-06-23 17:38:48; freshness should be verified.
License is unknown; terms of use must be verified before download and application.