stat.bd

Services

Focused help when your research needs method clarity.

We keep the offer narrow on purpose: match each project to the right statistics, survey, manuscript, or software help, then make sure the result can stand up to a close read from a supervisor or reviewer.

Thesis and dissertation support

  • Descriptive statistics, reliability checks, regression, mediation, moderation, SEM/CFA/PLS where appropriate, and notes that explain what the numbers mean.
  • Replication-friendly outputs: syntax, cleaned data files, and a short methods memo on request.
  • Best if you already have a topic, a questionnaire, or data that is part-way cleaned.

Survey and questionnaire review

  • Questionnaire logic, scale fit, pilot feedback, coding plans, and a sampling sanity check.
  • Post-collection survey path: if data is already collected, we assess whether it can support credible analysis.
  • Best before you collect data, or when a shaky form could break the analysis later on.

Manuscript and reviewer revision support

  • Method justification, cleaner tables, result interpretation, and a plan for supervisor or reviewer comments.
  • Statistical reporting for publication. We do not inflate claims or guarantee outcomes.
  • Best for authors who need solid analysis and clear reporting.

Consultation and scoped review

  • A short session to decide whether the data, design, and deadline can support a credible analysis.
  • Best when the first need is triage and finding the right person, not full delivery yet.

Methods

What we routinely support and decline.

Supported

  • Descriptive statistics and reliability (Cronbach's alpha, item-total correlations)
  • Regression, mediation, and moderation
  • SEM, CFA, and PLS-SEM where the data and sample size support it
  • Survey design review and post-collection data assessment
  • SPSS, R, Stata, Python, and Excel workflows

Declined

  • Fabricated or manipulated results
  • Methods chosen solely to reach significance (p-hacking)
  • Work that requires us to misrepresent your role in the study
  • Guaranteed publication, grades, or viva outcomes

Deliverables

What a typical scoped project can include.

  • Analysis plan confirmation before heavier work starts
  • Tables, charts, and cleaned outputs (.sav, .rds, or equivalent)
  • Syntax files (.sps, .R, .do, or Python scripts)
  • Word-ready tables and short interpretation notes
  • Methods memo excerpt explaining model choice and limitations
  • One scoped revision pass for supervisor or reviewer comments

Replication packages (syntax, cleaned outputs, and a methods memo) are available on request so you can reopen and defend the work later.

Out of scope

What we turn down.

No fabricated results

We never invent data, manufacture findings, or take unethical shortcuts to reach a result.

No outcome guarantees

We do not promise publication, grades, viva outcomes, or approvals that depend on academic review.

No off-channel workflow

Project communication stays on email and the contact form. We do not route sensitive work through informal messaging apps.