Paper: SSRN 2239338

Abstract

This article describes development of the InCharge Financial Distress/Financial Well-Being Scale, designed to measure a latent construct representing responses

Complexity vs Empirical Score

  • Math Complexity: 2.0/10
  • Empirical Rigor: 7.0/10
  • Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: The paper focuses on developing and validating a psychometric scale (financial well-being/distress), which involves statistical methods like factor analysis and Cronbach’s alpha, but lacks advanced mathematical theory or derivations. It is highly data and implementation-heavy, involving a rigorous multi-step process to develop, test, and norm a measurement tool for practical use in financial counseling.

Research Flowchart

  flowchart TD
  A["Research Goal<br/>Develop & Validate Financial<br/>Distress/Well-Being Scale"] --> B["Data Collection<br/>Survey of 405 Adults"]
  B --> C["Methodology Steps<br/>Exploratory & Confirmatory<br/>Factor Analysis"]
  C --> D["Computational Processes<br/>Reliability Tests &<br/>Score Interpretation Algorithm"]
  D --> E["Key Outcomes<br/>Validated 8-Item Scale<br/>Distress/Well-Being Metric"]