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Clear Analyses. Reliable Methods. Publication-Ready Outputs.

We support Master’s, PhD, and Post-Doc projects across disciplines: survey analysis, experiments, time series, forecasting, regression/GLM, multilevel models, SEM, and survival analysis. You receive cleaned data, well-labeled code, APA/Harvard-ready tables/figures, and plain-English interpretation.

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SPSS · STATA · R · Python · MATLAB Experiments Surveys Time Series SEM/MLM

What We Analyse

Surveys & Questionnaires

Sampling, reliability (α/ω), EFA/CFA, and hypothesis testing.

  • Likert data cleaning & coding
  • Validity & factor analysis
  • Group comparisons
Experiments & RCTs

Between/within subjects, ANOVA/ANCOVA, power analysis.

  • Randomisation & blocking
  • Effect sizes & CIs
  • Assumption checks
Time Series & Forecasting

ARIMA/ETS, seasonal decomposition, multivariate TS.

  • Stationarity & differencing
  • Model diagnostics
  • Backtesting
Business & Finance

Panel data, event studies, credit scoring, KPIs.

  • Fixed/Random effects
  • GARCH/VAR
  • Propensity scores
Social Science & Education

Questionnaires, interventions, multi-level models (HLM).

  • ICC & random effects
  • Mediation & moderation
  • SEM/Path analysis
Medical & Public Health

Survival analysis, epidemiology, diagnostic accuracy.

  • Kaplan–Meier, Cox PH
  • ROC/AUC, sensitivity
  • Meta-analysis (on request)

Methods We Use

Descriptive & EDA

Cleaning, missingness, outliers, distributions, visual EDA.

Tables/Figures (APA) Box/Violin Heatmaps
Inferential Statistics

t-tests, χ², ANOVA/ANCOVA, non-parametrics, post-hoc.

Assumptions Effect sizes Confidence Intervals
Regression & GLM

Linear/Logistic/Poisson, mixed models, mediation/moderation.

Diagnostics VIF/Collinearity Robust SEs
SEM & CFA

Measurement models, path analysis, fit indices & modification.

AMOSlavaanMplus*
*On request/licence
ML & Classification

Trees/Boosting/SVM/K-Means with proper validation.

ROC/AUCCross-validationPipelines
Survival & Longitudinal

KM curves, Cox PH, mixed/HLM, repeated measures.

Proportional Hazards Frailty models* LME/GLMM

Software We Support

SPSSSTATAR PythonMATLABEViews MinitabSAS On request/licence availability

Our Data Analysis Process

  1. Brief & Scope – objectives, hypotheses, variables, deadlines.
  2. Data Prep – cleaning, coding, missingness, assumptions.
  3. Analysis – appropriate tests/models with diagnostics.
  4. Results – tables/figures + plain-English interpretation.
  5. Handover – files, code, and revision window.

Dataset (CSV/Excel/SPSS/STATA), codebook, questionnaire (if any), and your guidelines or target journal style.

Yes R scripts, Python notebooks, SPSS/STATA do-files, or MATLAB code with comments and run instructions.
Data Analysis Process
Cleaned data + codebook APA/Harvard tables & plots Interpretation notes

What You’ll Receive

Cleaned dataset, well-commented code or syntax files, publication-ready tables/figures, and a concise write-up of results with interpretation.

Deliverables Checklist
  • Cleaned dataset (CSV/Excel/SPSS/STATA/RData)
  • Syntax/Code (R, Python, SPSS, STATA, MATLAB)
  • Tables/figures formatted to your style
  • Results summary & interpretation
  • Assumption checks & diagnostics (where relevant)
  • Optional: Power analysis/report appendix
Typical Turnaround
ScopeStandardExpress
Basic EDA & descriptives24–48 hours12–24 hours
Regression/ANOVA study2–4 days24–48 hours
Time series/ML/SEM5–10 daysBy scope
* Varies by complexity, data size, and software.
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Flexible Service Levels

Level Focus Includes Best For
Essentials Clean & Describe Data cleaning, EDA, descriptives, basic charts Small studies
Study Analysis Hypothesis Testing Appropriate tests/GLM, diagnostics, formatted outputs Dissertation/Thesis
Advanced Complex Models Time series/ML/SEM/HLM, validation, report appendix Publication

Frequently Asked Questions

SPSS, STATA, R, Python, and MATLAB primarily. We can also use EViews, Minitab, or SAS (subject to licence).

Yes Cronbach’s α/McDonald’s ω, item analysis, EFA/CFA, and measurement model reporting.

Yes scripts/syntax, output files, and a concise interpretation so you can reproduce and explain results.

Absolutely APA, Harvard, Chicago, IEEE, Vancouver, or a specific journal’s guide.

We report missingness/outliers and apply suitable strategies (e.g., imputation, robust methods) with justification.

Yes CFA/SEM (lavaan/AMOS/Mplus*), and HLM/GLMM for clustered or repeated measures data. *Subject to licence.

Yes. We maintain strict confidentiality and can sign an NDA on request. Data is not shared with third parties.

Basic EDA: 24–48h; typical thesis study: 2–4 days; advanced models: 5–10 days (depending on scope). Express options available.

Based on data size/cleanliness, tests/models required, deliverables, and deadline. Share your files for a quick quote.

Yes concise results write-up with tables/figures and interpretation aligned to your style guide; discussion chapter support available on request.