SERVICES · STATISTICAL ANALYSIS

Statistical Analysis Services for Research and Business

Rigorous quantitative analysis, with methods matched to your research questions, variables and data. We work in SPSS, STATA, AMOS, SmartPLS, R, Python, MATLAB and Excel, and explain the results in plain language.

WHAT WE DO

Methods and software for quantitative research

Hypothesis Testing

t-tests, ANOVA, chi-square and non-parametric tests, chosen to suit your study design and the characteristics of your data.

Correlation & Regression Analysis

Pearson, Spearman and partial correlations, plus linear, multiple, logistic and hierarchical regression, with assumption checks and clear interpretation.

Reliability & Factor Analysis

Cronbach’s alpha and related checks for scales and questionnaires, with exploratory and confirmatory factor analysis to examine the structure of your constructs.

Descriptive Statistics

Frequencies, measures of central tendency and dispersion, and clear summary tables ready for reports and presentations.

Moderation & Mediation Analysis

Testing indirect and conditional effects between variables, with the results reported clearly.

Structural Equation Modelling (SEM) & Path Analysis

Testing theoretical models with multiple relationships between variables, using AMOS, SmartPLS (PLS-SEM) or other suitable software.

SPSS & STATA Analysis

Data preparation, analysis, interpretation and reporting in IBM SPSS and STATA, from data management to regression models.

R, Python, MATLAB & Excel

Reproducible analysis, graphics and modelling in R and Python, numerical analysis in MATLAB, and structured summaries in Microsoft Excel.

ANSWERS

Statistical analysis FAQs

Yes. We review your research questions, variables, study design and data to help identify an appropriate method before the analysis begins.

We work with SPSS, STATA, AMOS, SmartPLS, R, Python, MATLAB and Excel. The choice depends on your project and on any institutional or team requirements.

Yes. Results come with a plain-language interpretation and reporting support, depending on the requirements of your project.

Typically, a description of your objectives, your research questions and the available dataset. We clarify any other requirements during the initial discussion.

Ready to discuss your project?

Share your objectives and your data, and we will suggest a suitable approach and the next steps.

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