Maladaptive Daydreaming and Mental Health Survey Data

Survey data measures maladaptive daydreaming, depression, anxiety, and stress levels within a study population. The dataset was contributed by author Maryam Falih and hosted by Harvard Dataverse. It was last updated in March 2026.

Use Cases

• Analyze correlations between maladaptive daydreaming scores and depression, anxiety, and stress scores.
• Investigate demographic patterns associated with high maladaptive daydreaming levels.
• Train models to predict stress or anxiety levels from maladaptive daydreaming survey responses.

Strengths

• Data includes four distinct psychological constructs: maladaptive daydreaming, depression, anxiety, and stress.
• Hosted on the authoritative Harvard Dataverse platform.

Limitations

• Unknown sample size prevents assessment of statistical power.
• Specific survey instruments and measurement scales are not detailed.

Provenance

Source

Harvard Dataverse

Collection Method

Survey data from a study population.

Freshness

Last updated March 2026.