Research Status: Pre-Validation Phase
Research Methodology
Rigorous investigation at the intersection of personality psychology and
digital business mental health
Mixed-Methods Research Approach
Combining qualitative and quantitative methods to investigate complex phenomena
The Digital Depth Economy™ research initiative employs a mixed-methods approach to investigate the complex intersection of personality psychology and digital business mental health. This methodology allows for both depth of understanding and breadth of application. This methodology enables validation of proprietary frameworks including the 6Core Devastations™, Stockholm64™ pattern recognition system, and Digital Positioning System (DPS)™.
Qualitative Methods
In-depth exploration of experiences and patterns
Phenomenological Interviews
In-depth interviews with Deep-Thinking, Deep-Feeling Digital Entrepreneurs (DTFDEs) and the professionals who serve them, focusing on lived experiences and perceived patterns.
Key Features:
Semi-structured interview protocols
Thematic analysis of transcripts
Iterative coding process
Member checking for validity
Interview protocols incorporate proprietary Digital Depth Diagnostic Pro Suite™ assessments under appropriate confidentiality agreements
Case Studies
Detailed examination of specific cases that illustrate the Digital Mismatch™ phenomenon and its impact on entrepreneurial journeys.
Key Features:
Longitudinal tracking
Multiple data sources
Contextual analysis
Pattern identification across cases
Pattern identification across cases utilizing Stockholm64™ framework for systematic analysis under confidentiality protocols
Focus Groups
Facilitated group discussions with Dual-Layered Deep-Thinking, Deep-Feeling Digital Entrepreneurs (DLDTFDEs) - licensed professionals who are also entrepreneurs - under appropriate confidentiality agreements to explore shared experiences and collective insights.
Key Features:
Longitudinal tracking
Multiple data sources
Contextual analysis
Pattern identification across cases
Content Analysis
Systematic analysis of digital content created by and for Deep-Thinking, Deep-Feeling Digital Entrepreneurs (DTFDEs) to identify patterns and themes.
Key Features:
Systematic sampling
Coding framework development incorporating 6Core Devastations™ diagnostic criteria for pattern identification
Inter-rater reliability checks
Comparative analysis
Quantitative Methods
Measurement and statistical analysis of key variables
Survey Research
Structured questionnaires using proprietary Digital Depth Diagnostic Pro Suite™ tools to collect data on DTFDEs personality traits, digital experiences, and business outcomes from large samples.
Key Features:
6Core Devastations™ measurement protocols
Stockholm64™ pattern assessment scales
Digital Positioning System (DPS)™ strategic indicators
Proprietary psychometric validation under confidentiality agreements
Experimental Studies
Controlled experiments testing specific hypotheses about cognitive processing and digital environment Interactions using validated 6Core Devastations™ measurement protocols.
Key Features:
Randomized controlled designs
Manipulation of environmental variables
Measurement of cognitive responses
Statistical analysis of effects
Digital Behavior Analysis
Analysis of digital behavior patterns using Stockholm64™ pattern recognition to identify correlations between platform interactions and entrepreneurial wellbeing outcomes.
Key Features:
Ethical data collection protocols
Stockholm64™ proprietary pattern identification
Digital Mismatch™ phenomenon validation protocols
Correlation with self-report measures
Longitudinal tracking
Validation Studies
Systematic studies to validate proprietary frameworks including 6CoreDevastations™, Stockholm64™, and Digital Positioning System (DPS)™ developed through the Digital Depth Economy™ research initiative. Validation conducted through professional focus groups with qualified partners under appropriate confidentiality agreements
Key Features:
Psychometric validation
Test-retest reliability
Construct validity assessment
Cross-population testing
Research Timeline
The evolution and future direction of the Digital Depth Economy research initiative
2016-2024
Personal Experience
Longitudinal observation of patterns among deep-thinking entrepreneurs in digital business environments, leading to initial hypothesis formation.
2022-2024
Initial Observation
Systematic observation of challenges and patterns across different industries and business models affecting Deep-Thinking, Deep-Feeling Digital Entrepreneurs (DTFDEs).
Jan. 2025 - April 2025
Systematic Investigation
Structured investigation including literature review, preliminary interviews, and conceptual framework development of the Digital Mismatch™ phenomenon.
May 2025 - July 2025
Preliminary Framework Development
Development of proprietary frameworks: 6Core Devastations™, Stockholm64™ Pattern Recognition, and Digital Positioning System (DPS)™.
August 2025 - Present
Research Initiative Launch
Formal launch of Digital Depth Economy™ research initiative, seeking professional collaboration for validation studies and framework refinement.
Current Phase
2025-2026
Validation Studies
Conducting validation studies through professional focus groups and mixed-methods research with qualified partners under confidentiality agreements.
2026-2027
Publication & Dissemination
Publishing findings, presenting at conferences, and developing practitioner resources.
Research Ethics
Ethical principles guiding the Digital Depth Economy research initiative
The Digital Depth Economy™ research initiative is committed to conducting research that adheres to the highest ethical standards. The following principles guide all research activities:
Informed Consent
All research participants provide informed consent before participating in any research activities. This includes clear information about the purpose of the research, how data will be used, and the right to withdraw at any time.
Privacy & Confidentiality
Participant privacy is protected through strict confidentiality protocols, secure data storage, and anonymization of research data. Personal identifiers are removed from all published research findings.
Beneficence
Research is designed to maximize potential benefits to participants and minimize potential harms. This includes careful consideration of research protocols and potential impacts on participants.
Respect for Autonomy
Participant autonomy is respected through voluntary participation, the right to withdraw, and the right to access personal data. Research protocols are designed to empower participants rather than exploit them.
Inclusivity
Research is designed to be inclusive of diverse perspectives and experiences. This includes consideration of cultural, socioeconomic, and neurodiversity factors in research design and interpretation.
Transparency
Research methods, funding sources, and potential conflicts of interest are transparently disclosed. Research findings, including limitations and alternative interpretations, are honestly reported.
Research Collaboration
Opportunities for professional partners to contribute to the research
Validation Studies
Participate in studies to validate proprietary frameworks and assessment tools with your client population under appropriate confidentiality agreements.
6Core Devastations™ framework testing with professional oversight
Digital Depth Diagnostic Pro Suite™ validation
Outcome measurement protocols using proprietary tools
Confidential feedback collection under NDA
Co-Development
Collaborate on framework refinement and practical application development with qualified Dual-Layered Deep-Thinking, Deep-Feeling Digital Entrepreneurs (DLDTFDEs) under confidentiality agreements.
Stockholm64™ pattern recognition enhancement
Digital Positioning System (DPS)™ tool development
Application testing with licensed supervision
Specialized adaptation development under IP protection
Academic Collaboration
Partner on research projects, co-authored publications, and peer-reviewed presentations related to the Digital Mismatch™ phenomenon
Joint research projects on Digital Mismatch™ applications
Co-authored academic publications with proper IP attribution
Conference presentation partnerships
Interdisciplinary integration with appropriate confidentiality protocols