Descriptive statistics
Techniques that summarise the centre, spread, shape and distribution of observed data without making causal claims.
Open familyResearch Wiki
Research Methods Lab
Twenty-two analytical families covering descriptive statistics, inference, regression, segmentation, choice models, causal inference, text analytics, Bayesian methods and simulation.
Statistical inference and hypothesis testing
Methods for quantifying uncertainty and testing whether observed differences are compatible with sampling variation and model assumptions.
Open familyCorrelation and association
Measures of the strength and form of association between variables, with careful separation from causation.
Open familyRegression techniques
Models that estimate relationships between an outcome and one or more predictors for explanation, control, prediction or causal analysis.
Open familyFactor and dimension-reduction techniques
Methods that compress correlated variables into lower-dimensional structures while retaining interpretable information.
Open familyCluster analysis and segmentation techniques
Algorithms that group observations by similarity, followed by stability, interpretability and actionability checks.
Open familyConjoint and discrete-choice techniques
Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers.
Open familyMaxDiff and best-worst scaling
Best-worst choice designs that create sharper priority estimates than ratings when respondents must discriminate among items.
Open familyStructural equation modelling and causal pathways
Latent-variable and path models used to test measurement quality, direct effects, indirect effects and theoretical structures.
Open familyPerceptual and correspondence mapping
Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map.
Open familyClassification and prediction
Statistical and machine-learning methods used to assign cases to classes or estimate future outcomes, with validation against unseen data.
Open familyTime-series analysis and forecasting
Methods that model trend, seasonality, autocorrelation and external drivers to produce forecasts and uncertainty intervals.
Open familyPricing analytics
Models that connect price, demand, willingness to pay, revenue and margin under alternative pricing scenarios.
Open familyTURF, portfolio and assortment techniques
Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns.
Open familyCausal inference and experimentation
Experimental and quasi-experimental methods designed to estimate what changed because of an intervention rather than alongside it.
Open familyLatent-class and mixture models
Models that represent unobserved heterogeneity by estimating distinct latent groups, states or response processes.
Open familyNetwork and diffusion analysis
Graph-based methods for analysing relationships, influence, communities and how information or behaviour spreads.
Open familyText, language and qualitative analytics
Methods that convert unstructured language into codes, themes, entities, sentiment, topics and interpretable evidence.
Open familyMissing data, weighting and survey adjustment
Methods for diagnosing missingness, adjusting sample composition and reflecting the effect of weights on precision.
Open familyReliability, validity and measurement science
Methods for evaluating whether scales and measures are consistent, valid, invariant and fit for the intended interpretation.
Open familyBayesian methods
Methods that update prior beliefs with observed evidence to produce posterior distributions and decision-relevant uncertainty.
Open familySimulation, optimisation and synthetic modelling
Computational methods for stress-testing scenarios, generating synthetic populations and choosing actions under constraints.
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