Hidden Valley Research Methodology
Hidden ValleyComprehensive Doctoral Research Methodology • 2001–2026
A transparent explanation of the research purpose, data-reconstruction process, database development, quantitative validation, economic modeling, AppSheet analytical environment, evidence hierarchy, reproducibility standards, public-accountability framework and methodological limitations supporting the Oklahoma USSSA Baseball & Softball research initiative.
A longitudinal reconstruction of Oklahoma youth-sports tournament activity
HVIOG is structured as a longitudinal, retrospective, observational, archival, data-reconstruction and economic-modeling study incorporating investigative and public-accountability methods.
Hidden Valley Integrity of the Game examines the structure, scale, economics, facility utilization, organizational relationships and public-accountability implications of organized USSSA baseball and softball tournament activity in Oklahoma from 2001 through 2026.
The project developed from event documentation and spreadsheet recordkeeping into a structured multi-field research database, supported by a custom Google AppSheet analytical environment.
The principal research question is not simply how many tournaments were played. The study asks what measurable economic activity, participation, facility utilization, organizational activity and public-resource interaction can be reconstructed from the available historical record.
The governing research chain is: source facts → researcher-coded variables → calculations → modeled estimates → aggregated findings → analytical interpretation.
From source evidence to public research
The methodology is designed so statewide findings can be traced back through calculations and records to the underlying source evidence.
Core components of the methodology
Unit of Analysis
The principal unit is generally a tournament-event/division record, allowing separate division characteristics to remain visible.
Source Provenance
Important variables should be classified as Source-Observed, Researcher-Coded, Calculated, Modeled/Estimated or Analytical/Inferential.
Database Architecture
The structured field system supports consistent storage, calculation, filtering, aggregation, comparison, validation and reporting.
AppSheet Integration
AppSheet operates as research infrastructure for record retrieval, standardized calculations, scalability and quality control.
Bottom-Up Calculation
Record-level calculations are aggregated upward through event, facility, municipality, annual and statewide levels.
Public Accountability
Facility and municipal research connects tournament economics with ownership, leases, public investment, utilities, subsidies and governance.
Validation is a continuing process, not a declaration of perfection
The methodology incorporates repeated checks intended to identify errors, anomalies, duplicate identifiers, missing information and inconsistencies before results are aggregated and published.
Validation Controls
Correction Protocol
When a researcher-generated identifier, formula, record or classification is found to be incorrect, affected records are isolated, compared against source variables and contextual fields, corrected, documented and revalidated before the public dataset is updated.
Economic categories are modeled separately before interpretation
The database distinguishes individual economic categories so entry fees, gate activity, concession activity, umpire costs, event income, event net and broader modeled impact are not casually collapsed into one number.
Separate what the source proves from what the analysis suggests
The methodology uses an evidence hierarchy and finding-classification system to reduce the risk that estimates, anomalies or interpretations are presented as established facts.
Recommended Evidence Hierarchy
Finding Classification
An anomaly is treated as a research signal rather than proof of misconduct. It should trigger source reexamination, alternative explanations, additional documentation and appropriate evidentiary classification.
Every important public finding should be traceable in both directions
The reverse path should also remain possible: a published finding should be traceable back through the calculation and analytical record to the underlying source. Public dataset releases should carry a version, release date, row count, column count, research period, validation status, known limitations and material corrections.
The methodology must allow the evidence to contradict the researcher
Bias Control
Preserve contrary evidence, favor primary sources, standardize formulas, treat comparable records consistently, disclose assumptions, separate observation from interpretation and revise findings when stronger evidence emerges.
Children & Privacy
Accountability should focus on systems, adult decision-makers, organizations, financial structures, governmental entities, policies, facilities and governance. Personally identifying information concerning minors should be minimized when unnecessary.
Evidentiary Boundary
HVIOG is not a governmental audit, tax determination, criminal investigation, judicial finding or organizational disciplinary determination. The database is designed to illuminate questions rather than replace competent authority.
Documentation supporting public reproducibility
Read the full Doctoral Methodology Executive Research Summary
The methodology report documents the research purpose, database architecture, AppSheet development, data-integrity controls, economic models, evidence hierarchy, reproducibility standards, public-facility research framework, limitations and transparency standards.
Methodology Transparency Statement
Hidden Valley Integrity of the Game is an independent research initiative. Economic figures identified as calculated, modeled or estimated are research outputs derived from available source information, database variables, formulas and disclosed assumptions. Unless independently supported by audited records, those figures should not be interpreted as verified organizational revenue, profit, taxable income or actual cash receipts. Identification of an anomaly, inconsistency or unexplained economic relationship does not independently establish unlawful conduct. Findings should be evaluated according to their underlying evidence, methodology, assumptions and stated limitations.