Republish our methodology papers
Our methodology papers are free to read and free to republish — with attribution and a canonical link back. Below: the license, copy-paste embeds, machine-readable feeds and a read-only API, and a per-paper press kit with the PDF, hero image, abstract, and ready citations.
Republishing license
You may republish CatalystMR methodology papers, in whole or in part, at no cost, provided you:
- Attribute CatalystMR clearly as the author/source (“Published by CatalystMR Research Team”).
- Link back with
rel="canonical"to the original CatalystMR URL of the paper. This tells search engines the CatalystMR page is the original and avoids duplicate-content penalties for both of us. - Don’t materially modify the meaning. Light editing for house style and length is fine; changing findings, figures, or claims is not.
- Preserve third-party credits (cited authors and image credits) and honor each image’s own license.
- Use only the real CatalystMR logo as provided — don’t recolor, redraw, stretch, or box it.
Embed a paper
Each paper ships a responsive “paper card” embed. Copy this snippet and swap PAPER-SLUG for the paper’s slug (or grab the exact code from any press kit below):
oEmbed
Every paper exposes an oEmbed endpoint and an <link rel="alternate" type="application/json+oembed"> in its <head>, so platforms that support oEmbed can auto-expand a paper URL into the card above. Endpoint pattern: /insights/methodology-papers/<slug>/oembed.json.
Feeds & API
Subscribe to the whole library or pull it programmatically. Every record canonicals back to CatalystMR.
Per-paper JSON: /api/papers/<slug>.json — title, abstract, keywords, canonical URL, PDF, hero image with credit/license, and companion-article link.
Paper directory & press kits
All 18 methodology papers. Each press kit bundles the PDF, hero image (with credit/license), abstract, a suggested headline & dek, and APA / BibTeX / RIS citations.
Real, Synthetic, or Both: A Methodology for Sourcing Decision-Grade Data in the Age of AI
A field guide to four kinds of synthetic data, where each earns its place, where it breaks.
Beyond the Registry: A Methodology for Validating Credentials No Database Can Confirm
The audiences a primary-source lookup cannot confirm (non-physician HCPs, payers, allied health, B2B decision-makers), a registry-availability spectrum, corroboration over lookup across four independent evidence streams and their blind spots.
CATI for Healthcare Research: Verifiable, High-Fidelity HCP Data
Why self-administered online panels struggle to deliver trustworthy data for small, high-value clinical populations, where HCP panel quality breaks down, what a live clinical interview verifies that a form cannot.
CATI for B2B Research: When Business Audiences Need a Live Interviewer
The self-administered ceiling for senior and low-incidence business audiences, the three jobs only a live interviewer does, screening that needs human judgment.
Straight-Lining: Detecting Pattern Answering — and Designing It Out
What flat, identical answering across a grid is and is not, why matrices invite it, how variance and pattern analysis read it against the sample.
Speeder Detection: Catching Speeders Without Discarding Fast Readers
Why a single timing threshold is not enough, the four timing layers where speed is measured, the instrument factors that calibrate a cutoff, corroboration before removal.
Respondent Validation: Protecting the Finding, Not Just the Dataset
Why undetected fraud biases findings rather than merely adding noise, the five integrity questions every complete must pass, the flag-to-disposition pipeline, and the quality-certification record that makes validation auditable.
Mixed-Mode Sample: Combining Telephone and Online for Coverage & Feasibility
Four design patterns, a single-master-screener integration layer, harmonisation rules, and a mode-effects watchlist.
Screen-Sharing CATI: Running Visual and Choice-Based Studies by Phone
Delivering visual stimuli and choice-based tasks (conjoint, MaxDiff, ad and concept tests, pricing tradeoffs) to hard-to-reach respondents during a live telephone interview.
When to Use CATI: Choosing Telephone as the Primary Survey Mode
Judged on coverage, cooperation, screening complexity, instrument length, sensitivity, and integrity, not on cost per complete.
Survey Fraud: AI-Generated Responses and New Detection Methods
Synthetic identities, bots, automated scripts, copied and AI-generated open-ends — through a layered stack of behavioural and technical signals backed by human review.
The 11-Point QC Framework — A Methodology for Validating Survey Respondents
Eleven QC checkpoints across pre-field, in-field, and post-field.
Rare-Disease Patient & Caregiver Sample — A Methodology for Ultra-Low-Incidence Recruitment
A multi-source recruitment funnel under one screener, confirmed-diagnosis validation, respondent dignity, and the ethics and consent that sensitive ultra-low-incidence research demands.
The CATI Advantage in HCP Research: A Methodology for Recruiting, Interviewing & Screen-Sharing to Decision-Grade Data
Online, telephone (CATI), or mixed-mode — by matching method to audience difficulty, survey complexity, and respondent availability. Includes a mode-decision matrix and a routing decision-tree.
B2B Sample Incidence — A Methodology for Modelling Feasibility by Title and Industry
Define, model the range, translate, soft-launch, revise.
C-Suite & Senior-Executive Sample — Verifying Decision Authority in B2B Research
Separating seniority from authority, a four-level authority taxonomy, mapping the decision-making unit, and verifying authority that has no external registry through screener design.
Credible Physician Sample — Verifying Healthcare-Professional Credentials
A four-tier evidence ladder from self-report to primary-source registry match, where verification happens across the respondent lifecycle, and how credentialing differs across EU, UK, and US markets.
Trustworthy B2B Sample — Specifying and Sourcing Business-Professional Respondents
The five B2B sample source types, single-source vs blended sample under one master screener, and the disclosure standard buyers should expect.