Factor Analysis, CFA & SEM
EFA, CFA and full structural models in AMOS, SmartPLS, lavaan or Mplus — with fit indices reported properly.
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Data & Statistics
Regression Analysis
Linear, logistic, multinomial, ordinal, hierarchical and multilevel models, with diagnostics that are actually run.
Regression is the most-used and most-misreported family of methods in applied research. Multicollinearity is ignored, residuals are never plotted, and the coefficient interpretation quietly claims causation that the design cannot support.
We fit the right model for your outcome type and data structure, run and report the diagnostics, and write an interpretation that says exactly what the coefficients mean.
What you receive
- Model selection with the rationale stated
- Full diagnostics: linearity, normality of residuals, homoscedasticity, VIF, influence
- Hierarchical entry where theory requires it
- Effect sizes and confidence intervals, not just p-values
- Plain-language interpretation of every coefficient
Questions about Regression Analysis
Not necessarily. In behavioural and social research a modest R² with a well-specified model and significant theoretically-grounded predictors is a normal, reportable result.
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Others in Data & Statistics
Econometric Analysis
Panel models, instrumental variables, difference-in-differences, GMM and robustness testing.
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ANOVA & Hypothesis Testing
t-tests, one-way and factorial ANOVA, ANCOVA, MANOVA, repeated measures and the non-parametric equivalents.
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Stata Analysis
Panel data, econometrics and survey-weighted analysis in Stata, delivered with do-files.
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Next step
Ready to talk about Regression Analysis?
Send the brief, the deadline and anything you already have. You will get a reference number straight away and a considered reply, usually within one working day.
- Fixed quote agreed before any work begins
- A reference number you can quote on WhatsApp
- Confidential handling, and an NDA if you want one
- An honest answer if your deadline is not realistic
