Metacognition of Emotional Valence and Arousal Ratings from Three Experiments

A novel method classifies ratings of emotional valence and arousal as correct or incorrect using normative standards and Receiver Operating Characteristic (ROC) curves. The dataset includes results from three experiments where participants rated their emotions and provided confidence judgments, with one experiment using a 100-point scale and another a two-alternative forced choice task. Authored by Sweta Basu and last updated in May 2026, the 2.0 MB document reports on the reliability of these measurement methods.

Use Cases

• Measuring individual differences in emotional metacognitive sensitivity based on ROC curve analysis described in the study.
• Assessing test-retest reliability of emotion rating methods, including scale-based and forced-choice tasks.
• Investigating the relationship between different dimensions of emotional experience, such as valence and arousal.
• Developing normative standards for emotional responses to visual stimuli based on participant ratings.

Strengths

• Includes data from three distinct experiments, allowing for methodological comparison.
• Employs a novel ROC-based measurement method for metacognitive sensitivity, as detailed in the description.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The primary data file is a DOCX document (2.0 MB), which may require extraction or conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Data likely collected from participant experiments involving emotion and confidence ratings for images.

Freshness

Last updated 2026-05-19 05:29:09; freshness should be verified.