AI Wellbeing Survey — Responses

Download the latest raw responses (Google Sheets export). Use Save as if the file opens in your browser.

Download responses (CSV)

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Derived tables (not the full Google export) and browser-only history.

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File:

Rows

Columns

Daily AI use

AI for personal issues

Data readiness -

Construct means (composite)

Construct	Mean	Items	α

Open-text sentiment (lexicon)

Share of coded responses (one label per respondent, combined open fields).

Label	N	%

Likert items (lowest → highest mean)

Item (truncated)	Mean	N

Keywords & themes

Top tokens

Word	#

Theme hits (per text cell)

Theme	#

Demographics snapshot

Field	Distribution

Per-respondent combined open-text

Polarity = (positive hits − negative hits) / max(1, word count). Thresholds: >0.02 positive, <−0.02 negative.

#	Polarity	Label	Snippet

Correlation matrix (Pearson r)

Pairwise complete cases per cell. Diagonal = 1.00. Significance: * p<.05, ** p<.01, *** p<.001 (two-tailed t-test on r). For publication, use your full quantitative pipeline for Holm-adjusted p-values and figures.

−1

+1 n = pairwise sample for that correlation

Pairwise list (same values as matrix)

Pair	r	p	n

Saved snapshots

Stored only in this browser (localStorage). Export JSON from Summary tab to archive externally.

When	File	n	Privacy μ	Trust μ	Disclose μ	% pos text