AI PSYCH Portal

Cross-Cultural Comparison Dashboard
Aggregate data only — no individual records

AI PSYCH Cross-Cultural Comparison

Israel (N=584) vs US (N=499) | Aggregate Statistics Only
DASS Filter: OFF
Israel US
Note: US sample (N=499) is pre-filtered for ongoing MH conditions + LLM use. Israeli sample (N=584) is general population. This dashboard shows aggregate statistics only — no individual-level data. Click the info button on any chart for detailed documentation.
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About This Portal

This portal provides an interactive comparison of harmonized survey data from two independent studies on AI use for mental health support. All data shown is aggregate only — no individual participant data is stored or transmitted through this portal.

Data Sources

IsraelUnited States
SampleGeneral population adults, ages 18-70Adults with ongoing MH conditions who used LLMs
N584499
AI-MH Users171 (29.3%)243 (48.7%)
RecruitmentiPanel (online panel)Prolific
InvestigatorsRefoua, Hadar Shoval, Elyoseph, Levkovich, Haber (Bar-Ilan University)Rousmaniere (Sentio University)
DASS-21Collected (0-126)Not collected
Key DifferenceThe US sample is pre-filtered (all have MH conditions + all used LLMs). The Israeli sample is general population. Direct prevalence comparisons require careful interpretation.
Important: Because the US sample is pre-selected for mental health conditions and LLM use, while the Israeli sample is a general population survey, differences in AI-MH usage rates or tool preferences may reflect sampling differences rather than true cross-cultural differences.

Harmonization Process

The two surveys measured overlapping constructs using different instruments and languages. Harmonization was performed in R, with every recoding decision documented in the project codebook.

Gender

Israel: Numeric codes (1=Male, 2=Female, 3=Other). US: Full text labels including "Man (incl Trans Male/Trans Man)", "Woman (incl Trans Female/Trans Woman)", "Non-binary/Genderqueer", etc. Mapped to three categories: Male, Female, Other.

Education

Israel: Years of schooling (numeric). US: Categorical text labels. Both mapped to a common 0-5 ordinal scale.

OrdinalLabelIsrael (years)US (text)
0No formal"No formal qualifications"
1High School≤12"Secondary" / "High school diploma"
2Some College13-15"Technical/community college"
3Bachelor's16"Undergraduate degree"
4Master's17-18"Graduate degree"
5Doctorate≥19"Doctorate degree"

AI Usage Frequency

The two surveys used different frequency anchors. A best-effort harmonized ordinal (0-6) was created, but the mapping is imperfect.

HarmonizedIsrael LabelUS Label
0— (not in data)Never
1Once a year
2Few times a year1x month
3About monthly2-3x month
4About weeklyWeekly
5Several times a weekSeveral times a week
6DailyDaily

Tool Usage

Israel: Wide-format binary columns (Tool_1 through Tool_9). Each column is 1 if selected, NA if not. US: Single comma-separated text field listing all tools used. Parsed with regex pattern matching.

MHAI Experience Ratings

Israel: 1-5 Likert numeric scales. US: Text labels ("Very Unhelpful"=1, "Unhelpful"=2, "Neutral"=3, "Helpful"=4, "Very Helpful"=5). Both available only for AI-MH users.

Crisis Used

Israel: Direct binary question (MHAI_severe: 0=No, 1=Yes). US: Derived from crisis types question — if participant selected "I have not used" or left blank, coded as 0; otherwise coded as 1.

DASS Filtering

The DASS-21 (Depression Anxiety Stress Scales) was administered only in the Israeli sample. This portal allows filtering the Israeli subsample by DASS severity levels to create more comparable subgroups.

SubscaleNormalMildModerateSevereExtreme
Total (0-126)0-2930-4142-5960-8384-126
Depression (0-42)0-910-1314-2021-2728-42
Anxiety (0-42)0-78-910-1415-1920-42
Stress (0-42)0-1415-1819-2526-3334-42

Since the US sample was pre-selected for MH conditions, filtering Israelis to higher DASS levels creates a more comparable distress profile.

Statistical Tests

  • Continuous variables: Two-sample z-test comparing means
  • Binary variables: Chi-square test of independence
  • Ordinal variables: z-test on means plus frequency distributions
  • Categorical variables: Side-by-side percentage bars

Privacy and Security

  • All statistics are pre-computed in R from the source datasets. Only aggregate summaries (means, SDs, counts, percentages) are stored.
  • No individual participant data is stored on this server or transmitted to the browser.
  • Data is served only after authentication via a secure, HttpOnly session cookie.
  • The aggregate data is stored server-side and fetched via API — it is not embedded in the page source.

Variable Documentation

Click the info button on any chart card in the Dashboard tab to see exact question wordings, source columns, recoding details, and caveats.