Psychometrics & Methods

Evidence-grade measurement science for decisions you can defend—from research labs to real operations.

Explore the Toolkit

Leading universities

Academic research spanning motivation, engagement, psychometrics, and organizational behavior.

National research institutions

High-stakes assessment and workforce measurement in credentialing and public-interest contexts.

Big tech & consulting

People analytics, selection science, and product-adjacent analytics with a bias for operational use.

Core capabilities

Scale design & validation

Construct mapping, item writing, content validity, pilot testing, power planning, and revision protocols.

Factor models (EFA/CFA)

Dimensionality, cross-loadings, fit diagnostics, bifactor/higher-order models, and residual checks.

Reliability & generalizability

α/ω coefficients, hierarchical ω, test–retest, inter-rater models, and G-theory for facet variance.

IRT & score engineering

1–3PL/GRM/GPCM, item banks, CAT readiness, information functions, scale linking, and score banding.

Validity evidence

Convergent/discriminant patterns, criterion/predictive evidence, known-groups, sensitivity to change.

Measurement invariance

Configural/metric/scalar/strict checks, partial invariance protocols, subgroup stability reporting.

Fairness, risk & governance

DIF & subgroup audits

Uniform/non-uniform DIF, item-level flags, impact analyses, and mitigation plans with transparent trade-offs.

Bias-aware modeling

Parsimony + interpretability, protected-attribute handling, stability checks, and decision logs.

Model cards for measures

Scope, assumptions, intended use, limitations, and monitoring cadence—measurement as a governed asset.

Methods in practice

Selection & leadership

Structured interviewing, multiple-hurdle designs, adverse-impact review, and score cutoffs tied to utility.

Engagement & culture

Driver analysis with validated scales, team-level norms, and action heuristics with practical effect sizes.

Learning & performance

Competency models, mastery thresholds, assessment-for-learning loops, and longitudinal sensitivity.

Health & safety

Brief, validated instruments for fatigue, cognitive load, and risk awareness that survive operational constraints.

Artifacts & deliverables

Scoring & interpretation

Score keys, norms, banding, and interpretation tables with uncertainty guidance.

Technical appendix

Model specs, fit indices, item parameters, reliability & invariance evidence, and data-quality checks.

Operator brief

Plain-language “how to use” for leaders and practitioners; guardrails and change thresholds.

Case snapshots

Selection utility realized

Score-based thresholds raised quality-of-hire indices at steady pass rates; zero flagged DIF after revisions.

Engagement measure tuning

Re-factoring improved reliability (ω↑) and clarified team-level variance components for action planning.

Learning outcomes sensitivity

IRT-based forms detected meaningful change with fewer items, reducing burden and boosting completion.

Methods library

Deeper write-ups and templates for factor analysis, reliability families, IRT models, DIF, invariance, and score engineering.

See Published & Working Papers

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