peopleanalyst

research / principia

Principia research

A source-graded survey of organizational measurement — predominantly the people side. Codifies constructs, instruments, items, measures, and meta-analytic effect-size tables into a queryable registry shared across the People Analytics Platform.

Why this matters

The portable claim — what this research lets you understand outside the surface domain.

Load-bearing organizational measurement is unevenly distributed across organizations and disciplines. The same construct gets measured five different ways across five different studies; effect-size tables live scattered through chapters of textbooks; high-quality instruments get reinvented in low-quality form because the original is paywalled or buried. Principia exists to give builders, researchers, and operators a single graded, sourced, queryable place to look — and to give the People Analytics Platform a canonical measurement vocabulary it can subscribe to. The methodology generalizes: source grading, statistical-metadata extraction into a shared schema, novelty verification before publication, queryable indexing — the same shape works for clinical psychology, educational measurement, marketing research, or any field where rigorous measurement is unevenly distributed.

Read first

The general-audience explainer is the entry point. Everything below is the drill-down.

Principia — overview

General audience

A source-graded survey of organizational measurement, output as a book + queryable database, rendered from one underlying registry. Outside-reader brief on what it codifies, why now, and how it relates to the rest of the portfolio via @measurement/core.

Read →

Drill-down — full research surface

Seven-slot baseline. Forthcoming slots shown openly.

Reports

The actual research findings — phased results, research-question briefs, applied analyses.

  • Construct-family roadmap

    17 construct families across 4 tiers (foundational · derivative · composite · outcomes), 8 queued for sequencing, 3 parallel threads (surveys · infrastructure · book draft).

  • Engagement — construct-family survey

    forthcoming

    First tier-1 family. Densest accumulated literature; serves as the methodology proof-of-method. UWES, Gallup Q12, MEI, JES, plus the Kahn-tradition qualitative work. Editorial MCP slice: /research/principia/engagement/ (PA-PRINCIPIA-01; awaits MF-PRINCIPIA-07).

  • Job satisfaction — construct-family survey

    forthcoming

    Tier-1, second in the queue. Long history; classic measurement-model debates (global vs facet; affective vs cognitive). JDI, MSQ, JSS, BIAJS, single-item global. Draft landed 2026-05-21 (~7,245 words, 58 FILL markers pending Consensus-MCP verification of foundational instrument-development papers + Mazzetti 2023 engagement→satisfaction r≈.60 promotion); held forthcoming until curator closes the FILL markers + the first EffectSize row promotes via `promote-effect-size` CLI.

  • Organizational commitment — construct-family survey

    forthcoming

    Tier-1, third. Tripartite measurement model (Allen & Meyer affective / continuance / normative) is canonical and well-tested. Includes the Mowday-Steers-Porter (1979) OCQ tradition and the Solinger et al. (2008) discriminability critique. Draft landed 2026-05-21 (~6,083 words, 41 FILL markers pending Consensus-MCP verification of Meyer-Stanley-Herscovitch-Topolnytsky 2002 + Riketta 2002 + Mazzetti 2023 engagement→commitment r≈.63 promotions); held forthcoming until curator close-out.

Audience tiers

The same headline research surfaced four ways: peer-review, engineering, general audience, product.

Bibliography

Field positioning — formal references and literature maps grounding the research threads.