Methodology & Disclosure
AAPOR Transparency Initiative compliance for survey research
About This Disclosure
This page documents the methodology, data collection practices, and analytical approach used in this survey research project. It follows the AAPOR Transparency Initiative framework, which establishes standards for publicly disclosing survey methodology. All Warren-powered surveys include this disclosure as part of our commitment to research transparency.
AAPOR Transparency Initiative Disclosure
Analysis Logic & Validation
Conversational Methodology
The Nesolagus framework uses natural conversation flow rather than traditional survey formats, reducing social desirability bias and increasing response authenticity.
Multi-Modal Response Options
Participants can respond via text, audio, or video — accommodating different communication preferences and capturing richer data.
Triangulated Analysis
Findings are validated across multiple data types: quantitative scales, qualitative narratives, and behavioral patterns.
Transparent Limitations
We explicitly acknowledge sampling limitations. Findings represent engaged participants, not general population.
Deterministic Classification
Psychographic segments are derived through rule-based pattern analysis across multiple variables, not AI or ML clustering.
Stakeholder Review
Methodology and findings are reviewed collaboratively with project stakeholders and commissioning partners.
Nesolagus Survey Methodology Framework v2.0
All Nesolagus surveys are designed in accordance with our Survey Methodology Framework, which establishes standards for conversational design, bias prevention, ethical framing, validation protocols, and data quality assurance. The complete 66-page methodology document is available for download below.
Download Framework (PDF)Note: This is the universal disclosure template. Project-specific disclosures (population details, dates, sample sizes) should be configured per survey through the project setup process. Elements marked as partial or empty require project-specific information.
Data Privacy, Security & Compliance
Our commitment to protecting participant data
Data Security
- - AES-256 encryption at rest and in transit
- - SOC 2 Type II aligned practices
- - No PII stored — all responses anonymized
- - Secure data centers (US-based)
Compliance & Ethics
- - IRB-aligned research protocols
- - FERPA compliant for education data
- - Informed consent required from all participants
- - Right to withdraw at any time
Aaron Lyles is an individual member of AAPOR and IASSIST, subscribing to their professional codes of ethics and practices. These memberships reflect our commitment to data research standards and best practices.