Descriptive Statistics
Frequencies, central tendency, dispersion and clear summary tables for your sample profile.
Most statistics problems in a thesis are not calculation errors. They are the wrong test for the data, assumptions nobody checked, and interpretation that says more than the numbers allow.
We begin with your research questions and hypotheses, not with the software. Once we know what you are trying to show, we choose tests that fit your design, your sample size and the level of measurement of each variable.
Your data is cleaned, coded and screened for missing values, outliers and normality before a single test is run. Every assumption is checked and reported, so an examiner reading your chapter can follow the logic from data to conclusion.
Output is translated into APA-style tables and plain-language interpretation. We then sit with you, online or in person, until you can explain each result without notes.
Each area is handled by someone who reads that literature — so your review looks current and your methods look informed.
Frequencies, central tendency, dispersion and clear summary tables for your sample profile.
t-tests, ANOVA, chi-square, non-parametric alternatives and post-hoc comparisons.
Simple, multiple, hierarchical, logistic and moderated or mediated regression.
EFA and CFA, KMO, Bartlett's test, reliability and construct validity.
CB-SEM in AMOS and PLS-SEM in SmartPLS with full measurement and structural models.
ARIMA, VAR, cointegration, panel data, GARCH and forecasting.
Kaplan–Meier, Cox regression, ROC curves and clinical data analysis.
MANOVA, cluster analysis, discriminant analysis and MDS.
Classification, clustering and prediction models with proper validation.
Effect-size pooling, heterogeneity, forest and funnel plots, bias tests.
Thematic coding and analysis in NVivo, ATLAS.ti and MAXQDA.
Publication-quality charts, dashboards and figures that tell one clear story.
Every technique is chosen for your objectives and documented, so you can explain it in your methodology chapter and your viva.
We prefer the version licensed at your university, so every file opens on your own system.
Illustrative titles to show the range of work we support. Your topic is shaped around your own interest, data and university requirements.
Sharpen the research problem, objectives and a gap your examiners will accept.
Recent indexed sources organised into themes, with the gap stated clearly.
Design, sampling, tools and techniques matched to your objectives.
The right methods run properly, with every assumption checked.
Chapters refined, referenced and formatted to your university style.
Paper preparation, journal selection and viva-readiness sessions.
You receive editable files and a written trail of every decision, so nothing in your thesis is a black box.
| Deliverable | What it contains |
|---|---|
| Clean dataset | Coded, labelled and screened data file |
| Analysis output | Full software output with syntax or script |
| Results chapter support | APA tables with interpretation notes |
| Assumption report | Every test assumption checked and documented |
| Figures | High-resolution charts ready for thesis or paper |
| Explanation session | One-to-one walk-through until you can defend each result |
Yes. We screen your data first and tell you honestly what it can and cannot support. If a hypothesis cannot be tested with your data, we say so before running anything.
It depends on your model and sample. SmartPLS suits prediction-oriented models, complex models and smaller samples; AMOS suits theory confirmation with larger, normally distributed samples. We explain the choice in writing for your methodology chapter.
Never. We do not alter, fabricate or selectively delete data. Non-significant results are reported honestly and interpreted properly — they are still findings.
Yes — we help build questionnaires from validated scales, plan the pilot study and check reliability before the main survey.
Most thesis analyses take three to ten days, depending on the number of objectives and techniques. Urgent timelines can be discussed.
Send your topic, your dataset or one draft chapter. We will tell you honestly what it needs — before you pay anything. The first consultation is free.
Engineering & Simulation
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