SPSS, Stata, and NVivo Data Analysis Support for University Researchers

Boost the quality, rigor, and clarity of your dissertation, thesis, or academic research with specialized analysis support from Research Bureau. We provide hands-on, reproducible, and publication-ready analyses using SPSS, Stata, and NVivo for university researchers across disciplines. Whether you need a statistical expert to run advanced models, a qualitative specialist to code and interpret interviews, or integrated mixed-methods support, we deliver clear results, robust code, and actionable interpretation.

Why choose Research Bureau for your academic analysis?

We combine methodological expertise, academic experience, and practical deliverables tailored to university requirements. Our approach centers on transparency, reproducibility, and your learning goals.

Expert team: Experienced statisticians and qualitative analysts with applied research portfolios supporting dissertations and peer-reviewed work.
Transparent workflows: We deliver scripts (SPSS .sps, Stata .do, NVivo project files), annotated output, and a reproducible analysis log.
Academic-friendly outputs: Tables, figures, and interpretation written to university and journal standards (APA/Chicago/discipline-specific).
Confidential & ethical: Data security, anonymization options, and adherence to institutional review expectations.

Contact us for a quote: email [email protected], click the WhatsApp icon, or submit details via the contact form on this page.

Services we provide

We support research at every stage—from planning and data cleaning to advanced modeling and final reporting. Services are customizable and can be bundled.

Quantitative analysis (SPSS & Stata)

Data cleaning and validation (outlier detection, recoding, variable creation).
Descriptive statistics and publication-ready tables.
Hypothesis testing: t-tests, chi-square, non-parametric tests.
Regression models: OLS, logistic, multinomial, ordered logistic.
Advanced modeling: multilevel/hierarchical models, generalized estimating equations (GEE), structural equation modeling (SEM), survival analysis (Cox), time-series, and panel data (fixed/random effects).
Survey-weighted analyses and complex sampling designs.
Missing data solutions: multiple imputation, pattern analysis, sensitivity checks.
Diagnostics and assumption checks (homoscedasticity, normality, multicollinearity, influential cases).
Power analysis and sample size estimation.
Reproducible code (Stata .do or SPSS syntax), annotated output, and methodological appendices.

Qualitative analysis (NVivo)

Project setup and import (audio, video, transcripts, survey open-ends).
Codebook development (inductive or deductive approaches) and inter-coder reliability checks.
Thematic analysis, grounded theory, content analysis, framework analysis.
Auto-coding, text search, and pattern queries; matrix coding for cross-case comparisons.
Visualizations: word clouds, cluster analysis, models, and coding stripes.
Integration with quantitative results for mixed-methods projects.
NVivo project file, codebook, memos, and a narrative report linking themes to research questions.

Mixed-methods & integration

Convergent, explanatory sequential, and exploratory sequential designs.
Triangulation matrices and joint displays linking quantitative and qualitative findings.
Mixed-methods interpretation support and integrated results chapters suitable for dissertations and journal articles.

What you receive — standard deliverables

We aim for clarity and reproducibility in every deliverable. Typical outputs include:

Reproducible scripts (.do/.sps) and NVivo project file.
Cleaned dataset (with codebook and variable labels).
Annotated statistical output and tables formatted for submission.
Figures (high-resolution) and charts in publication-ready formats.
Detailed methods appendix describing procedures, software versions, and assumptions checks.
Plain-language interpretation of results and succinct academic wording for your results chapter.
Recommendations for limitations, further analysis, and next steps.

How we work — a typical process

We follow a structured, collaborative workflow that keeps you in control and maintains academic integrity.

Share project details and data: study design, research questions, raw data, ethics constraints.
Scoping & quote: we propose a plan, timeline, and fixed price for the agreed scope.
Data intake & pre-analysis check: we verify formats, anonymize if needed, and confirm variable definitions.
Analysis phase: iterative model building, diagnostics, and interpretation. We share interim results and request clarifications.
Deliverables & revisions: final outputs, scripts, and a results narrative. Two rounds of minor revisions are included.
Optional tutoring session: live walkthrough of results, code, and interpretation for thesis defenses or viva preparation.

Turnaround & pricing factors

Turnaround depends on dataset complexity, analysis depth, and support level. Pricing is quoted after receiving project details. Typical timelines:

Service complexity	Typical turnaround	Included revisions
Simple descriptive & basic tests	3–5 working days	1 round
Standard regression & interpretation	5–10 working days	2 rounds
Advanced modeling (multilevel, SEM)	10–20 working days	2 rounds
NVivo coding & thematic analysis	7–21 working days	2 rounds
Mixed-methods integration	14–30 working days	2 rounds

Factors that influence cost and time:

Dataset size and format.
Number of variables and planned models.
Need for transcription, translation, or heavy qualitative coding.
Urgency (expedited service available).
Whether training or live consultation is required.

Request a tailored quote by emailing [email protected] or sharing a project brief through the contact form.

Comparison: SPSS, Stata, and NVivo — which tool when?

Below is a practical feature comparison to help you choose the right tool for your needs.

Feature / Use case	SPSS	Stata	NVivo
Best for	Social sciences teaching, survey analysis, easy GUI	Reproducible code, complex econometrics, panel/time-series	Qualitative coding, interviews, content analysis
Strengths	User-friendly GUI, quick descriptive stats	Powerful scripting (.do), advanced modeling & data management	Rich qualitative tools, visualization, mixed-methods integration
Ideal for dissertations?	Yes — especially survey-based and psychometric studies	Yes — advanced quantitative & longitudinal analyses	Yes — interview/focus group based, thematic studies
Scripting / reproducibility	Syntax available (.sps)	Excellent (.do), package ecosystem	Project files + exportable queries
Advanced modeling	SEM via add-on, limited panel tools	Extensive: SEM, multilevel, panel, survival	N/A (qualitative focus)
Learning curve	Low to moderate	Moderate to high	Moderate
Output formatting	Good for tables/APA	Highly customizable	Thematic reports & visualizations

If you’re unsure which approach suits your study, we can advise after reviewing your protocol and dataset.

In-depth examples and use-cases

Below are practical examples of common dissertation analyses and how we support them.

Example 1 — Survey-based study (SPSS or Stata)

Research question: Does perceived social support predict student stress, controlling for demographics?

We provide:

Data cleaning and recoding of survey responses.
Reliability analysis (Cronbach’s alpha) for scale construction.
Exploratory factor analysis (EFA) to validate constructs.
Multiple linear regression with diagnostics (VIF, residual plots).
Interaction analysis (social support × year of study).
Clear tables and APA-style reporting ready for the results chapter.

Deliverables:

Script (.sps or .do), cleaned dataset, factor loadings table, regression output, and a 1–2 page plain-English interpretation.

Example 2 — Longitudinal/panel analysis (Stata)

Research question: How do employment policies affect wage trajectories over 10 years?

We provide:

Panel data structuring and handling of unbalanced panels.
Fixed-effects and random-effects models with Hausman test.
Growth curve modeling and visualization of trajectories.
Robust standard errors and sensitivity analyses.
Laid-out methods section suitable for publication.

Deliverables:

Reproducible Stata .do file, model diagnostics, trajectory plots, and policy-relevant interpretation.

Example 3 — Thematic analysis of interviews (NVivo)

Research question: How do first-generation university students experience academic support services?

We provide:

Transcription import, time-stamped memos, and participant-case linking.
Inductive codebook creation and systematic coding of transcripts.
Inter-coder reliability testing if multiple coders are involved.
Thematic maps, exemplar quotes, and a thematic narrative tying to theory.
Recommendations and implications for student services.

Deliverables:

NVivo project file, codebook with definitions and examples, exportable tables of themes and supporting quotes, and a narrative report.

Example 4 — Mixed-methods (NVivo + Stata)

Design: Explanatory sequential — survey followed by interviews to explain quantitative results.

We provide:

Quantitative analysis identifying key predictors and surprising results.
Purposeful sampling for follow-up interviews.
NVivo analysis that links themes back to statistical findings.
Joint display tables and an integrated discussion section.

Deliverables:

Combined deliverables from both strands and a joint interpretive report for thesis inclusion.

Quality assurance and reproducibility

We take reproducibility seriously. Our quality assurance includes:

Peer review of code and models by a second analyst.
Cross-validation and sensitivity tests for statistical models.
Version-controlled scripts and archived copies of datasets (per client permission).
Clear documentation of software versions and packages used.
Ethical data handling, anonymization, and secure data transfer.

Academic integrity, authorship & attribution

We support academic integrity and respect university policies.

We provide analysis support, scripts, and interpretation. We do not claim authorship of your work.
Clients are responsible for accurate attribution and following their institution’s rules on external assistance.
We are happy to provide a methods appendix or acknowledgement text you can include in your dissertation or manuscript.

If you require a letter describing the scope of our support for your university, we can provide a signed statement detailing services rendered.

Security, privacy and data handling

Protecting your data is a priority.

Secure file transfer options are available.
Data anonymization and pseudonymization assistance offered on request.
Files are stored on encrypted drives and retained only as agreed in the project scope.
We comply with standard data protection practices; please notify us of any specific institutional requirements.

Sample timelines and what to expect

Below is a sample timeline for a mid-complexity project (e.g., regression models + interpretive write-up).

Phase	Activity	Typical duration
Intake	Receive data, study brief, and ethics constraints	1–2 days
Scoping & Quote	Agree scope, timeline, and price	1–2 days
Pre-analysis	Data cleaning and variable checks	2–4 days
Analysis	Model building, diagnostics, and visualization	3–7 days
Deliverables	Final outputs, scripts, and interpretation	1–2 days
Revisions	Two rounds of minor revisions	2–5 days

Expedited services are available for tight deadlines—contact us for options.

Pricing transparency

We provide fixed-price quotations based on scope and complexity. Quotes are sent after a brief intake review. Typical cost drivers:

Number and complexity of analyses.
Qualitative coding hours (NVivo projects often billed per coding hour).
Turnaround urgency.
Need for consultation or tutoring sessions.

Request a tailored quote: email [email protected], submit the contact form, or click the WhatsApp icon.

Testimonials (anonymized)

“Research Bureau transformed my messy survey data into clean, interpretable results and helped me write the results chapter. The SPSS syntax and annotated output saved me hours.” — PhD candidate, Education.
“Their NVivo coding and thematic mapping clarified the key themes for my qualitative chapter. The codebook and quotes were perfectly organized for submission.” — Master’s student, Social Work.
“We ran a complex panel model in Stata; their reproducible .do file and diagnostics gave me confidence for my viva.” — Lecturer, Economics.

Frequently Asked Questions

Q: Will you write my dissertation for me?
A: We provide analysis, interpretation, and academic-friendly wording for results, but we do not ghostwrite full dissertations on behalf of clients. Our role is to empower you with reproducible analysis, clear interpretation, and teachable insights.

Q: Can you work with anonymized or sensitive data?
A: Yes. We can work with anonymized datasets and offer guidance on de-identification. Inform us of any institutional/data sharing restrictions up front.

Q: Do you provide training?
A: Yes. We offer live sessions—walkthroughs of SPSS, Stata, or NVivo workflows. These can be one-off tutorials or part of the project scope.

Q: What formats do you accept?
A: We accept CSV, Excel, SPSS (.sav), Stata (.dta), and NVivo-compatible transcript formats. If you have unusual formats, contact us and we’ll advise on conversion.

Q: Will I get the code and data back?
A: Yes. All scripts, cleaned datasets (subject to your data retention preferences), and NVivo projects are returned. Ownership remains with you.

Q: Can you help with ethics applications or methodology sections?
A: We can provide methodology text, data collection templates, and advice on study design. We do not provide ethics approval on your behalf, but we can prepare supporting documentation for your submission.

Practical tips to prepare before contacting us

Prepare the following to speed up quoting and delivery:

A short project brief (research questions, hypotheses, and intended analyses).
Raw data files and any codebooks or survey instruments.
Ethics constraints and consent wording (if applicable).
Preferred citation/formatting style (APA, Chicago, journal).
Preferred turnaround and budget constraints.

Send these via the contact form or email [email protected] for a faster, more accurate quote.

Assurance and next steps

When you choose Research Bureau you gain a partner focused on rigorous, reproducible, and academically defensible analysis. We prioritize clarity in deliverables so you can confidently present, defend, and publish your findings.

Ready to get started?

Email: [email protected]
Use the contact form on this page to upload a brief and sample data.
Click the WhatsApp icon for quick questions or to arrange a scoping call.

Provide a brief project summary and we’ll respond with a tailored plan and quote within one business day. We look forward to helping you turn data into publishable insight.