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Registry-backed methods directory

Understand a method before you open it.

Search current availability, required data, typical research questions, assumptions, and beginner guidance. Workflow-only methods are labelled honestly.

12 methods shown

DescriptiveAvailable

Descriptive survey analysis

Profiles respondents, variables, response distributions, and cross-tabulations.

Typical question
What does this sample look like?
Required data
dataset · numeric, categorical, ordinal
Important assumptions
Correct coding, suitable summaries, and transparent missing denominators.
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InferentialAvailable

Group comparison and inference

Compares groups using validated t, ANOVA, chi-square, or Fisher procedures.

Typical question
Do observed groups differ on the selected outcome?
Required data
outcome, group · numeric, categorical
Important assumptions
Independent observations where required, compatible outcome/group coding, and procedure-specific diagnostics.
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InferentialAvailable

Multiple regression and generalised linear models

Models continuous or binary outcomes with explicit predictor roles.

Typical question
How is an outcome associated with specified predictors?
Required data
dependent variable, predictors · numeric, categorical
Important assumptions
Explicit variable roles, appropriate outcome distribution, functional form, and diagnostic review.
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AdvancedAvailable

Mediation and moderation

Evaluates statistical indirect effects or continuous interactions.

Typical question
Is an association indirect or conditional on another variable?
Required data
theoretical X/M/Y or X/W/Y roles · numeric
Important assumptions
Theory-defined roles, temporal caution, compatible scales, and bootstrap or interaction diagnostics.
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Reliability & MeasurementAvailable

Exploratory factor analysis

Explores common-factor structure with factorability diagnostics.

Typical question
What common-factor structure may underlie these indicators?
Required data
three or more indicators · numeric
Important assumptions
Factorable indicators, sufficient information, and an interpretable common-factor rationale.
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Reliability & MeasurementAvailable

Confirmatory factor analysis

Estimates theory-constrained reflective measurement models.

Typical question
Does a theory-specified reflective measurement model fit the observed covariance structure?
Required data
approved factor and indicator specification · continuous indicators
Important assumptions
Approved reflective specification, identification, continuous indicators, and estimator assumptions.
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AdvancedAvailable

Covariance-based SEM

Estimates recursive AMOS-style latent measurement and structural models.

Typical question
How do theory-specified latent constructs relate in a covariance-based model?
Required data
approved measurement and structural model · continuous indicators
Important assumptions
Approved CFA, identified recursive structure, and supported continuous-indicator ML assumptions.
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AdvancedAvailable

PLS-SEM

Estimates reflective Mode A recursive PLS path models.

Typical question
How do specified construct blocks and paths behave in a PLS model?
Required data
approved reflective construct blocks and recursive paths · numeric indicators
Important assumptions
Approved measurement modes, recursive paths, numeric indicators, and separate measurement/structural review.
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QualitativeAvailable

Open-ended survey response analysis

Profiles confirmed text fields and prepares an auditable coding pathway.

Typical question
What patterns and meanings occur in open-ended survey responses?
Required data
confirmed text-response field · text
Important assumptions
Confirmed text fields, privacy review, an explicit codebook, and researcher-controlled interpretation.
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QualitativeAvailable

Mixed-methods analysis

Runs distinct quantitative and qualitative strands before explicit integration.

Typical question
How do quantitative and qualitative strands converge, complement, or diverge?
Required data
integration design · numeric, categorical, text
Important assumptions
Completed strand-specific evidence and an explicit integration question.
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AdvancedWorkflow only

Longitudinal and repeated-measures analysis

Recognises repeated observations and documents required design metadata.

Typical question
How do outcomes change across repeated observations?
Required data
subject identifier, time variable · numeric, time
Important assumptions
Subject and time identifiers plus a specialised estimator, which is not currently available in-app.
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AdvancedWorkflow only

Multilevel and clustered survey analysis

Recognises clustered samples and documents hierarchy requirements.

Typical question
How does clustering affect outcomes and uncertainty?
Required data
cluster identifier · numeric, categorical
Important assumptions
A cluster identifier and specialised multilevel estimator, which is not currently available in-app.
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