AI Synthesis: Qualitative Analysis of Conversion Therapy

This post shows researchers how to apply AI-enabled qualitative methods to the Uncloseted Media investigation republished by Advocate.com on August 17, 2026. The primary keyword for this guide is qualitative analysis conversion therapy and the goal is to turn interviews, survivor accounts, and program materials into defensible themes, counts, and evidence for reporting or policy analysis. Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. This introduction summarizes the evidence in the source, explains practical coding and validation steps, and points to how AI tools speed thematic synthesis while preserving auditability.

Key Takeaways

According to the August 17, 2026 report in Advocate.com, Uncloseted Media interviewed 24 former participants and identified Strength in Weakness (SIW) activity across 58 countries and appearances by founder Guy Hammond in at least 31 U.S. states and 20 other countries; these figures give a bounded empirical base for qualitative coding.

24 former participants described years of enforced celibacy, shame, isolation, depression, and suicidal ideation to Uncloseted Media in August 2026.
SIW publicly claims activity across 58 countries and Hammond claims teaching over 100, 000 people worldwide, per Advocate.com on August 17, 2026.
Membership and program costs documented by the report include online memberships near $70 per year and three-day workshops costing host churches about $3, 000 as of 2026, useful numeric anchors for sampling bias and access analysis.
A 2026 Trevor Project analysis cited by Uncloseted Media found that 35% of LGBTQ young people exposed to conversion therapy within the prior year reported attempting suicide, which is a critical prevalence statistic to pair with qualitative harm narratives.

What Happened and how it was documented

This section answers what Uncloseted Media documented and how researchers should treat those materials: the August 17, 2026 Advocate.com piece aggregates 24 survivor interviews, organizational documents, and public statements to characterize Strength in Weakness (SIW) programming.

According to Advocate.com on August 17, 2026, SIW describes its mission as supporting "same-sex attracted" Christians while denying it practices conversion therapy; that public denial is paired in the report with survivor accounts that describe enforced celibacy and pressure into heterosexual or single lives.

Uncloseted Media documented appearances by Guy Hammond in at least 31 U.S. states and 20 other countries and reported SIW claims of work in 58 countries and an asserted reach of over 100, 000 people, which together indicate a transnational footprint researchers must stratify by region and legal context.

Uncloseted Media captured financial and programmatic facts useful for sampling: SIW membership fees near $70/year, couple memberships near $100/year, counseling fees and three-day workshop costs around $3, 000 for host churches, and course prices for leaders around $360, all reported in the Advocate.com article on August 17, 2026.

Findings Snapshot

Date	Metric	Value	Implication
August 17, 2026	Former participants interviewed	24	Qualitative sample size for thematic saturation and code frequency counts
2006–2026 (organization claims)	Countries SIW says it has worked in	58	Global reach requires cross-cultural coding and language handling
2026 (reporting)	Documented Hammond appearances	31 U.S. states; 20 other countries	Segment analysis by region and local law needed
2026 (pricing data)	Membership / workshop costs	$70/yr membership; $3, 000 three-day workshop	Access bias: cost barriers and revenue model affect who participates
2026 (Trevor Project)	LGBTQ young people attempting suicide after conversion therapy exposure	35% (if exposure within prior year)	Match qualitative harm narratives with prevalence estimates for advocacy

Implications for qualitative researchers

This section answers how qualitative researchers should adapt methods when analyzing investigations like the Advocate.com Uncloseted Media report.

Researchers should treat the Advocate.com dataset as a purposive qualitative corpus: 24 in-depth survivor accounts provide thematic depth but do not estimate prevalence, per Uncloseted Media reporting on August 17, 2026.

Researchers should triangulate Uncloseted Media interviews with public SIW materials and workshop pricing to detect organizational practices and incentives, as those program materials are cited in the Advocate.com article.

Researchers must code for both explicit practices (celibacy curricula, monitoring of sexual behavior) and rhetorical denial (public statements denying conversion therapy), because the Advocate.com reporting shows organizations may publicly deny conversion therapy while operationally encouraging suppression.

For ethical review, researchers must note the mental health risks reported by Uncloseted Media, including suicidal ideation and at least one death linked by survivors to participation; include a one-line ethics reminder in protocols: this analysis is non-diagnostic and research-focused.

How Evidano helps AI-enabled qualitative research on conversion therapy reporting

Problem: scattered sources and manual coding

Answer: Use AI to ingest interviews, web pages, and documents into a single, timestamped corpus for reproducible coding.

Practical mapping: ingest the Advocate.com article and linked SIW webpages, then auto-transcribe and de-duplicate overlapping quotes so coding begins from a clean, auditable dataset.

Problem: finding themes in small but rich survivor samples

Answer: Use thematic extraction and frequency analysis to surface recurring harm signals and rhetorical frames.

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents; use Evidano to generate thematic maps, co-occurrence networks, and frequency tables that align survivor claims (24 interviews per Advocate.com, August 17, 2026) with organizational texts.

Problem: multilingual or multimedia outreach by organizations

Answer: Use integrated transcription and translation pipelines to standardize text for cross-country comparison.

Evidano supports transcription and translation features applicable when coding Hammond appearances across at least 20 countries and 31 U.S. states (per the Advocate.com analysis), and the platform preserves original timestamps and speaker IDs for provenance; see the Evidano speech-to-text feature for details.

Problem: defending findings to policy or journalistic audiences

Answer: Produce auditable codebooks, exportable quotes with source attributions, and segment-level counts.

Evidano lets you export thematic codebooks and visualizations to show how many of the 24 interviewed survivors reported specific harms, and it helps link those counts to external prevalence data such as the 2026 Trevor Project analysis noted by Uncloseted Media.

Problem: secure handling of sensitive accounts

Answer: Use a platform that encrypts data and supports PII redaction in transcripts.

Evidano provides configurable PII redaction and enterprise security controls so researchers can analyze sensitive survivor narratives while minimizing re-identification risk; see Evidano data security for governance details.

FAQ: qualitative analysis conversion therapy

How do I code survivor interviews from the Advocate.com/Uncloseted report?

Answer: Start with an inductive first-pass codebook then validate with frequency counts.

Method: Read all 24 interviews as reported by Advocate.com on August 17, 2026, create initial codes for harm categories (shame, isolation, suicidal ideation), then use AI-assisted coding to tag excerpts and produce counts for each code.

Can AI distinguish between public denials and operational practices?

Answer: Yes, when you combine rhetorical frame detection with policy/material ingestion.

Method: Ingest SIW public statements and program guides cited by the Advocate.com article, then run contrastive topic models to surface discrepancies between public language and internal guidance or survivor descriptions.

What quantitative context should accompany qualitative harm narratives?

Answer: Add prevalence statistics and program reach numbers to contextualize qualitative findings.

Example: Pair survivor themes with the 35% suicide attempt statistic from the 2026 Trevor Project analysis and SIW reach claims (58 countries, Hammond's claimed 100, 000 taught) as documented in the Advocate.com reporting to show relative scale and potential impact.

How should researchers handle quotes that describe self-harm or suicide?

Answer: Use an ethics-first approach and redact identifying details while preserving the quote’s analytic value.

Practice: Follow institutional review board guidance and the one-line ethics note above; in coding outputs, mark such excerpts with a harm flag and do not publish identifiable details without consent.

Conclusion & Next Steps

This post demonstrates concrete AI-enabled steps to convert the Aug. 17, 2026 Uncloseted/Advocate dataset into auditable qualitative evidence: ingest documents, build an inductive codebook, validate with frequency counts, and triangulate with prevalence data.

Researchers should pair the 24 in-depth survivor accounts reported by Advocate.com with SIW program materials, cost and reach figures, and external prevalence studies to produce defensible conclusions for policy or journalism.

If you want to prototype this workflow on your investigation, use AI-assisted ingestion, thematic coding, translation, and secure redaction tools to accelerate synthesis.

To test these methods on your own corpus, Try Evidano for free.

Topics

qualitative analysis conversion therapy
AI qualitative analysis
thematic analysis conversion therapy reporting
AI transcription for qualitative research

Keep reading

Browse all articles