Understand every method, from first step to algorithm.
Practical workflows, methodological reasoning, equations, implementation details, verified references, and honest validation boundaries.
27 published articles
Create your first research project
Set up a private workspace that keeps your study design, datasets, analyses, and reports together.
Upload a survey dataset
Import a CSV, Excel XLSX, or SPSS SAV file into an immutable dataset version.
Navigate the Survlytics workspace
Use the seven stable workspace destinations, project context, contextual resource tabs, and compact analysis method picker.
Guided Research or Explore Analysis?
Choose between a structured methodology-aware journey and direct access to analysis modules.
Understand variable types and measurement levels
Review detected numeric, text, categorical, ordinal, and scale-like variables before analysis.
Review missing data
Inspect missing counts and patterns before choosing a handling strategy.
Review potential outliers
Use distribution and quality evidence to identify observations that need researcher review.
Reverse coding and composite scores
Prepare consistently oriented indicators and construct scores through explicit transformations.
Data-quality algorithms and transformations
Technical inventory of missingness, distribution, response-pattern, multicollinearity and controlled transformation algorithms.
Run descriptive statistics
Summarise distributions, central tendency, variability, frequencies, and cross-tabulations.
Explore and visualise survey data
Filter respondents, create automatic charts, and build transparent crosstabs or numeric summaries from one immutable dataset version.
Frequencies and crosstabs
Understand counts, valid and total percentages, cumulative percentages and two-way contingency tables.
Interpret reliability evidence
Assess internal consistency for a defensible reflective multi-item score.
Correlation and regression
Explore associations or model continuous and binary outcomes with explicit variable roles.
Mediation and moderation
Estimate observed-variable indirect effects or continuous interactions using explicit theoretical roles.
Group comparisons and categorical inference
Technical guide to Student and Welch t tests, paired t tests, conventional and Welch ANOVA, chi-square and Fisher exact tests.
Exploratory factor analysis
Explore common-factor structure with factorability and dimensionality diagnostics.
Confirmatory factor analysis
Estimate a researcher-approved reflective measurement model using supported continuous-indicator ML procedures.
Covariance-based SEM workflow
Extend an approved CFA into a recursive latent structural model.
PLS-SEM workflow
Estimate supported recursive PLS path models with reflective Mode A and configured formative Mode B constructs.
Detect open-ended survey questions
Profile eligible text fields locally and review candidates before confirming them for qualitative analysis.
Codes, themes, and qualitative evidence
Build a versioned codebook, assign codes to responses, and develop researcher-approved themes.
Mixed-methods integration
Bring separately analysed quantitative and qualitative strands into explicit joint displays.
AI assistance, evidence, and privacy
Understand how contextual explanations are separated from statistical computation and controlled by configured privacy boundaries.
Build a Results Notebook
Organise explicitly saved analyses and approved qualitative evidence into an editable report structure.
Export research results
Generate supported Word, PDF, HTML, or spreadsheet outputs from reviewed evidence.
Build thesis and journal results from saved evidence
Use Academic Results Studio to organise immutable notebook evidence into thesis, journal, or professional Results and Discussion structures.