VoCA: Views of Cognitive Aging Questionnaire and Validation Data

A dataset from 727 participants aged 50–84 years old, used to develop and validate the Views of Cognitive Aging (VoCA) questionnaire. The data includes responses to VoCA sections on generalized and personal views, other views of aging measures, and cognitive task performance. The dataset was created by Enrico Sella and last updated in May 2026.

Use Cases

• Validate psychometric scales based on factor analysis results described for the VoCA questionnaire.
• Model associations between subjective aging views and cognitive performance based on described correlations with working memory, attention, and processing speed.
• Develop interventions for successful aging by identifying at-risk profiles using the VoCA's essentialist and nonessentialist view factors.

Strengths

• Dataset includes responses from 727 participants, providing a substantial sample size for validation.
• The VoCA questionnaire demonstrated good reliability and validity as reported in the description.
• Data links self-reported views of aging with objective cognitive functioning measures like attention and working memory tasks.

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 modeling.
• The primary file is a 694.4 KB DOCX, which is a small document format not typical for raw data sharing.

Provenance

Source

Enrico Sella via figshare

Collection Method

Questionnaire administration and cognitive task performance from 727 participants.

Freshness

Last updated 2026-05-20 05:47:45; freshness should be verified.