Peer-reviewed mindset
Academic rigor in psychometrics, statistics, and behavioral science—transparent assumptions and clear standards.
Open, operator-ready research — publications, methods notes, datasets & code, and reusable tools.
Review Case StudiesAcademic rigor in psychometrics, statistics, and behavioral science—transparent assumptions and clear standards.
Datasets, notebooks, and code where possible; versioning, docs, and changelogs for auditability.
Plain-language summaries, decision thresholds, and implementation guidance alongside technical detail.
A curated library spanning Publications & Working Papers, Open Methods & Notes, Datasets & Code, and Templates & Tools. Use the featured items to start fast, or jump into a category that matches your need.
Working paper + scoring guide for a multidimensional engagement construct (independent & interdependent behaviors).
View Related ProofMethods note translating measurement theory into operator-ready audits and reporting.
View Related ProofPractice dataset with codebook and starter notebooks for modeling exercises.
View Related ProofPeer-reviewed articles, preprints, and white papers with operator-oriented summaries.
Concise, implementation-ready technique briefs: factor analysis, MLM, cut scores, and more.
Reproducible examples, utilities (R/Python), and annotated notebooks.
Survey packs, manuscript templates, power sheets, and research ops checklists.
Conceptualization, item development, dimensionality, and initial validation roadmap.
View Related ProofValidity, reliability, and fairness—operator playbook with examples and checklists.
View Related ProofIntegrative review connecting selection instruments to downstream leadership outcomes.
View Related ProofEFA vs. CFA, rotation choices, fit diagnostics, and reporting conventions.
View Related ProofCentering, cross-level interactions, shrinkage, and practical interpretation.
View Related ProofMultiple-hurdle selection, Angoff, and utility-aware thresholding.
View Related ProofAlpha vs. omega, criterion models, bias detection, and equity reporting.
View Related ProofItem responses, demographics, and outcomes for modeling practice with codebook.
Effect sizes, robust SEs, bootstrap helpers — Python & R.
Generate synthetic responses with configurable scale properties.
View Related ProofNote: Where a full resource library is still being assembled, PrimeStata points buyers to the closest published method, proof asset, or flagship service path.
Pre-styled sections, references, tables, and figure notes.
View Related ProofPlan studies with effect-size targets and sensitivity checks.
View Related ProofConsent, item banks, scoring keys, and variable dictionary.
View Related ProofUnless otherwise noted, resources are free for research & education with attribution.
Default is permissive (e.g., CC BY-NC or MIT for code). Check the header of each resource.
PrimeStata. (2025). Title of resource. PrimeStata Research. https://www.primestata.com/research/papers-resources.html
This library most often supports Organizational & People Analytics engagements where buyers want to review methods, citations, and evidence before moving into applied scope.
Have a method, template, or evidence question that needs to translate into practical work? PrimeStata can help scope the right next step.