Fear of COVID-19 as a Predictor of Depression or Anxiety

Bivariate linear regression data examining the relationship between fear of COVID-19 and mental health outcomes. The dataset is 5.5 KB in size and was authored by Mary E. Kittur. It was last updated on April 15, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Conducting bivariate linear regression analysis based on the described relationship between fear of COVID-19 and depression.
• Conducting bivariate linear regression analysis based on the described relationship between fear of COVID-19 and anxiety.
• Investigating the predictive power of pandemic-related fear on mental health outcomes as suggested by the description.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

Mary E. Kittur via figshare

Freshness

Last updated 2026-04-15 17:35:32; freshness should be verified.