Research Services

Support at every point where research quality is decided.

From framing a question to interpreting results, SRPI provides methodological and analytical guidance that strengthens your work while keeping authorship and decisions firmly with you.

Scope of work

Seven connected areas of research support.

Engagements can cover a single area or run across the full research process. Deliverables are confirmed in writing before work begins.

01 — Foundations

Research Design & Planning

We help you translate a broad interest into a researchable question with a defensible design, aligned aims, objectives and methods.

Typical deliverables

Annotated proposal or design outline
Methodology rationale notes

Research question refinement and scope definition
Conceptual and theoretical framework development
Methodology selection: quantitative, qualitative or mixed methods
Sampling logic, variables and measurement planning
Research proposal structure and internal coherence review

02 — Evidence

Literature & Evidence Support

Guidance on building a literature base that argues rather than lists, with transparent search and screening logic.

Typical deliverables

Search strategy documentation
Synthesis matrix and structure plan

Search strategy design and database guidance
Screening, inclusion and exclusion criteria support
Thematic synthesis and critical argument structuring
Gap identification and positioning of your contribution
Reference management workflow guidance

03 — Instruments

Data Collection & Instruments

Support for building instruments and coordinating fieldwork so that the data you gather can answer your questions.

Typical deliverables

Draft instrument and codebook
Piloting and cleaning checklist

Questionnaire, interview and observation protocol development
Item wording, scaling and pilot testing guidance
Validity and reliability considerations
Data collection coordination and progress tracking
Data entry structures, codebooks and cleaning workflows

04 — Quantitative

Quantitative Analysis

Analysis planned around your hypotheses and assumptions, explained so you can defend every result.

Typical deliverables

Analysis plan
Annotated output tables and interpretation notes

Analysis plan aligned to research questions
Descriptive statistics and assumption checks
Inferential testing, regression and multivariate approaches
Reliability, factor and scale analysis
Output interpretation and reporting to field conventions

05 — Qualitative

Qualitative Analysis

Rigorous, traceable qualitative work — from coding frames to themes evidenced by your data.

Typical deliverables

Coding frame
Theme structure with supporting extracts

Transcript preparation and coding frame development
Thematic, content and framework analysis support
Reflexivity, trustworthiness and audit-trail guidance
Software workflow guidance for qualitative tools
Presentation of themes with participant evidence

06 — Reporting

Report Writing & Editing

Structural and language support that keeps your voice while sharpening argument, flow and compliance.

Typical deliverables

Tracked-change edit
Editorial summary of recurring issues

Chapter and section structuring
Academic language editing and proofreading
Argument coherence and consistency review
Formatting to institutional or journal templates
Referencing and citation-style accuracy checks

07 — Interpretation

Visualisation & Interpretation

Tables and figures that carry meaning, with interpretation that stays within what the data supports.

Typical deliverables

Formatted tables and figures
Interpretation and limitations notes

Table and figure design to publication standards
Chart selection, labelling and accessibility of visuals
Results-to-discussion linking
Limitations framing and implications development
Presentation and viva-ready summary materials

Responsible practice

Primary data collection must meet consent, ethics and privacy requirements.

Where an engagement involves human participants or personal data, the study must have appropriate ethical approval from your institution or review body. Participation must be informed and voluntary, and data must be handled lawfully under the privacy rules that apply to you.

Discuss Your Research Publication support