Expert Statistical Data Analysis for Professional Research
Numbers tell your story, if you know how to read them. Our statisticians run rigorous analyses using SPSS, Stata, EViews, R, Nvivo, Python, AMOS, and SmartPLS — and translate results into publishable academic text
Statistical Analyses We Perform
Descriptive Statistics & Data Cleaning | Reliability & Validity Testing (Cronbach’s α, AVE, CR) | Correlation Analysis (Pearson, Spearman) | Multiple Linear & Logistic Regression | ANOVA & MANOVA | Chi-Square & Non-parametric Tests | Factor Analysis (EFA & CFA) | Structural Equation Modelling (SEM) | PLS-SEM (SmartPLS) | Mediation & Moderation Analysis | Time Series Analysis (ARIMA, GARCH, VAR, VECM) | Cointegration & Error Correction Models | Panel Data Analysis (Fixed Effects, Random Effects) | Survival Analysis | Meta-analysis (RevMan, R) | Thematic Analysis (Qualitative)
Software We Use
SPSS
Descriptive statistics, ANOVA, regression, reliability (Cronbach's α), factor analysis
EViews
Time series econometrics, ARIMA, VAR, VECM, GARCH, cointegration, panel data
Stata
Regression, instrumental variables, panel data, survival analysis, Heckman selection
Python
Data wrangling, ML models, NLP, scikit-learn, pandas, matplotlib, scipy
R / RStudio
Advanced statistics, meta-analysis, bioinformatics, ggplot2 visualizations
AMOS / SmartPLS
Structural Equation Modelling (SEM), CFA, PLS-SEM, mediation & moderation
NVivo
To organize, analyze, and find insights in unstructured or non-numerical data