Academic Statistics & Data Analysis
Get end-to-end statistical support for theses, dissertations, and journal submissions design, power analysis, data cleaning, appropriate tests/models, visualizations, interpretation, and manuscript-ready reporting (APA/Harvard).
What you get
- Method fit & power analysis
- Data cleaning & assumptions checks
- Appropriate tests/models with rationale
- Publication-ready tables/figures
- Plain-English interpretation & limitations
- Reproducible scripts (R/Python/SPSS/Stata)
We tailor methods to your question & design no one-size-fits-all analyses.
Disciplines & Levels
- Management, Marketing, Finance, HR, Operations
- Computer Science, Data/AI, Engineering
- Healthcare, Nursing, Public Health, Pharmacy
- Economics, Sociology, Psychology, Education
- Law & Policy, Environment & Sustainability
- Media/Communication, Linguistics
- Statistics & Research Methods
- Undergrad · Masters · MPhil · PhD
Methods & Analyses We Support
Foundational Tests
- t-tests, ANOVA/ANCOVA, χ² tests
- Nonparametrics (Mann-Whitney, Kruskal-Wallis)
- Correlation & simple regression
Regression & GLMs
- Multiple/Logistic/Poisson/Negative Binomial
- Mixed effects (LMM/GLMM), repeated measures
- Panel & time-series (ARIMA/VAR)
Multivariate
- PCA/FA, clustering (k-means/hierarchical)
- MANOVA/MANCOVA, Discriminant Analysis
- Correspondence & canonical analyses
SEM & Measurement
- EFA/CFA, reliability (α/ω), validity checks
- Path models, mediation/moderation
- PLS-SEM & CB-SEM (AMOS/LISREL/SmartPLS)
Survival & Biostats
- Kaplan-Meier, log-rank tests
- Cox models, competing risks
- Epidemiologic measures & CIs
Machine Learning (Academic)
- Train/validate/test protocols
- Cross-validation & hyper-parameters
- Explainability & fair-use caveats
Software & Reproducibility
Tools
R, Python, SPSS, Stata, EViews; AMOS/LISREL/SmartPLS; JASP/ jamovi on request.
Reproducible Scripts
Well-commented code + session info to reproduce tables/figures exactly.
Clean Outputs
APA-style tables, figure captions, and export-quality plots (PNG/SVG/PDF).
Data Privacy
De-identification; NDA on request; least-privilege access.
Deliverables
- Methods rationale & assumptions checks
- Analysis scripts (R/Py/SPSS/Stata) + README
- Tables/figures (DOCX/LaTeX/PNG/SVG/PDF)
- Plain-English interpretation & limitations
- Optional: slide deck of key results
Our Process
1) Brief & data
Share your research question, design, rubric/journal guide, dataset or schema, and desired outputs.
2) Plan & power
Confirm method fit, assumptions, and sample/power; finalize analysis plan and deliverables list.
3) Analysis
Clean data, run tests/models, validate diagnostics; build tables/figures with clear labeling.
4) Reporting
Write up results in manuscript style (APA/Harvard, etc.) with effect sizes and confidence intervals.
5) Review
Walk-through call, address comments, provide scripts and final exports; support for revisions.
Quality, Ethics & Integrity
Methodological Rigor
- Assumptions diagnostics and robustness checks
- Effect sizes, CIs, and practical significance
- Transparent limitations and model caveats
Academic Integrity
- Zero fabrication or p-hacking data-true reporting
- Citation of external datasets and packages
- Confidential handling; NDA available
We deliver original work for learning/reference use and expect responsible submission per policy.
Packages
Starter Analysis
From $49Small dataset · basic tests
- Clean + t/χ²/ANOVA as needed
- APA-style tables & one figure
- Short interpretation note
Regression/SEM
From $179Models & diagnostics
- Multiple/logistic/GLM or SEM
- Assumptions & robustness checks
- Figures + write-up template
Full Study Support
From $329End-to-end assistance
- Design + power + analysis
- Tables/figures + scripts
- Two review calls & revisions
Final quote depends on data condition, tests/models, figure count, and turnaround. Share your dataset or outline for a fixed price.
What to Share
To give you an accurate plan, timeline, and quote, we need clear details up front. Providing the following helps us design the right methods, ensure ethical use of data, and deliver outputs that align with your rubric or journal requirements.
Project Context
- Research aim(s) and objectives
- Hypotheses or research questions
- Study design (survey, experiment, secondary data, clinical trial, etc.)
- Level (UG, Masters, PhD, Postdoc)
Data & Materials
- Dataset (CSV, XLSX, SPSS .sav, Stata .dta, etc.) or mock-up/sample if not collected yet
- Codebook / variable list with definitions
- Any prior analyses, outputs, or supervisor comments
- Consent/IRB restrictions if relevant
Analysis Preferences
- Preferred tests/models or requested methods (if known)
- Software preference (R, Python, SPSS, Stata, AMOS, SmartPLS, etc.)
- Output style (APA, Harvard, LaTeX, journal template)
- Figures/tables format requirements
Logistics
- Deadline and time zone
- Word/figure/table limits from rubric/journal
- Communication preference (email, WhatsApp, call)
- Budget range (if you have one)
The more detail you provide at the start, the faster we can finalize your scope and deliver reliable, reproducible results.
FAQ
Yes based on your question, design, variable types, and assumptions diagnostics. We explain the rationale in plain English.
R and Python by default; SPSS/Stata available; SEM in AMOS/LISREL/SmartPLS. We share scripts when applicable.
Yes method notes, results wording, effect sizes, CIs, and limitations formatted to APA/Harvard/your guide.
Absolutely. We run prospective power and discuss trade-offs for feasibility.
Yes de-identification where possible, least-privilege access, NDA on request.
Small jobs 3-7 days; complex modeling 1-3 weeks depending on scope and data condition.
Packages include review and one or two rounds depending on scope; more can be added.
Yes coding frameworks, inter-rater reliability, and integration with quant where relevant.
No. We prioritize valid, transparent analyses and will flag limitations honestly.
Share your question, data, and deadline; we’ll respond with scope, ETA, and a fixed quote.
Ready for clear, defensible statistics?
Send your dataset and question get a method plan, scripts, and publication-ready outputs. Call/WhatsApp: +91 7604 912 235