Celsus offers a quantitative data analysis service for postgraduate students and academics working on theses, journal articles and research projects. We analyse your raw dataset with the method that matches your hypotheses in SPSS, R or Stata, and turn it into a publication-ready output with documented assumption checks, effect sizes and a result you can defend in front of reviewers. Our role is not to decide for you, but to guide you towards the right method and a sound interpretation of the findings.
What's included
- Descriptive statistics, data cleaning, and handling of missing data and outliers (listwise deletion, EM, multiple imputation).
- Difference tests: independent and paired t-tests, one-way and factorial ANOVA, ANCOVA, MANOVA and their non-parametric equivalents.
- Association and prediction: correlation, multiple linear regression, logistic regression, hierarchical and stepwise models.
- Advanced multivariate methods: structural equation modelling (SEM), exploratory and confirmatory factor analysis, and multilevel (mixed) models.
- Time-series and panel analysis: stationarity and unit-root tests, ARDL, cointegration and GARCH.
- Separate, documented assumption checks for every analysis (normality, homogeneity of variance, multicollinearity, autocorrelation).
- Tables in APA 7 format, accompanying charts and a plain-language interpretation.
How we work
- Scope: we review your research questions, hypotheses and data structure, then agree on the analysis plan and a delivery timeline.
- Preparation: we clean the data, code the variables and check missing data and assumptions, recommending transformations or a revised method where needed.
- Analysis: we run the chosen method in SPSS, R or Stata and keep all output, syntax and the reasoning behind each decision fully traceable.
- Reporting and aftercare: we deliver APA 7 tables, charts and interpretation, and support revisions and explanations for supervisor or reviewer queries.
Analysis families we cover
| Analysis family | Example tests | Software | Typical deliverable |
|---|---|---|---|
| Descriptive and exploratory | Frequencies, central tendency, cross-tabs, normality tests | SPSS, R | Descriptive tables and distribution charts |
| Difference tests | t-test, ANOVA, ANCOVA, MANOVA, Kruskal-Wallis | SPSS, Stata | APA table, effect size, post-hoc comparisons |
| Regression and prediction | Multiple linear, logistic, hierarchical regression | R, Stata | Coefficient table, odds ratios, model-fit measures |
| Multivariate structure | EFA, CFA, SEM, mediation-moderation | R, AMOS, SmartPLS | Path diagram, fit indices, loading tables |
| Multilevel and mixed | Mixed-effects models, nested data analysis | R, Stata | Fixed/random effect estimates, ICC report |
| Time-series and panel | Unit root, ARDL, cointegration, GARCH, fixed/random effects | Stata, R, EViews | Estimation tables, diagnostic tests, interpretation |
Distribution of test families
Related guides
If you would like to work through the topic yourself, our open-access guides may help: thesis data analysis in SPSS, step by step, which statistical test should I use? a decision guide and effect sizes explained (Cohen's d, eta squared).
Frequently Asked Questions
How long does quantitative data analysis take?
It depends on the size of the dataset and the complexity of the chosen method. Descriptive and difference tests are usually finished within a few days, while SEM or multilevel models can take longer. We share a firm delivery date when we agree the scope.
How is the price determined?
Rather than a fixed list price, we quote on the scope of your project. After reviewing the data structure and analysis plan, we send a scoped fixed quote within one working day, with no surprise extra charges.
Is my data secure?
Yes. Your data is used solely for the analysis, we sign a non-disclosure agreement (NDA) on request, and the work is run in line with UK GDPR and KVKK principles. All data is deleted on completion if you wish.
Is this service academically ethical, and how do I start?
Our service supports, never substitutes, the author's own work; it provides method and reporting support, and you approve the analytical decisions and defend the results. To start, complete the contact form or message us on WhatsApp.