Start your analysis$59
Power Analysis & Sample-Size Planning
Plan recruitment, sensitivity, precision, clustered designs, and simulation-based power.
View productPREMIUM R MARKDOWN WORKFLOWS · 27 AVAILABLE
Find the workflow that matches your research question.
Browse by analysis goal, or search for a method, outcome, or data structure. Each workflow includes editable code, synthetic data, diagnostics, and reporting guidance. Most are $59; the foundational Core Statistical Analyses workflow is $39.
26 workflows shown
START YOUR ANALYSIS · 4 AVAILABLE
Foundations & preparation
Plan the sample, audit the data, address incomplete observations, and run foundational statistical analyses.
Start your analysis$59
Data Cleaning & Audit
Review missingness, identifiers, parsing, ranges, outliers, recoding, and exports.
View productStart your analysis$59
Missing Data & Multiple Imputation
Audit missingness, specify imputations, diagnose results, pool models, and run sensitivity checks.
View productStart your analysis$39
Core Statistical Analyses for Dissertations
Run correlations, t tests, ANOVA, chi-square, and hierarchical regression with diagnostics and APA-style reporting.
View productMODEL RELATIONSHIPS · 6 AVAILABLE
Regression & causal models
Estimate adjusted relationships, indirect effects, time-to-event outcomes, paths, and causal contrasts.
Model relationships$59
Regression for Four Outcome Types
Choose and interpret models for continuous, count, ordinal, and binary outcomes.
View productModel relationships$59
Mediation, Moderation & Conditional Process
Estimate indirect effects, interactions, simple slopes, and moderated mediation.
View productModel relationships$59
Survival Analysis
Analyze time-to-event outcomes with Kaplan–Meier estimates, Cox models, and diagnostics.
View productModel relationships$59
Observed-Variable Path Analysis
Estimate multi-path models, indirect effects, residual fit, and theory-led alternatives.
View productModel relationships$59
Causal Inference for Business Research
Apply reproducible causal designs with explicit assumptions and diagnostics.
View productModel relationships$59
Quasi-Experimental Program Evaluation
Work through weighting, matching, difference-in-differences, discontinuity, and interrupted time series.
View productMEASURE AND CLASSIFY · 4 AVAILABLE
Measurement & classification
Evaluate scales, latent structure, profiles, clusters, item properties, and group comparability.
Measure and classify$59
Reliability, Factor Analysis & Measurement Invariance
Audit items, estimate reliability, fit EFA and CFA models, and test invariance.
View productMeasure and classify$59
Latent Profile Analysis
Compare profile solutions, classification uncertainty, validation, and reporting.
View productMeasure and classify$59
Cluster Analysis
Compare cluster solutions, assess stability, profile groups, and evaluate external outcomes.
View productMeasure and classify$59
Educational Measurement: IRT, Rasch & DIF
Review items, fit Rasch and 2PL models, estimate information, scores, and DIF.
View productHANDLE COMPLEX DATA · 9 AVAILABLE
Repeated, nested & relational data
Model change, nesting, dyads, single-case phases, intensive observations, and panel records.
Handle complex data$59
Daily Diary & Intensive Longitudinal Models
Audit compliance, separate within- and between-person effects, and model lagged associations.
View productHandle complex data$59
Repeated-Measures Data Reshaping & Visualization
Transform wide and long records, verify values, and create analysis-ready repeated data.
View productHandle complex data$59
Growth Modeling Basics
Build random-intercept and random-slope models and estimate conditional change.
View productHandle complex data$59
Probing Interactions in Growth Models
Estimate time-by-moderator effects, conditional slopes, and trajectories.
View productHandle complex data$59
Repeated-Measures ANOVA, MANOVA & Growth
Compare corrected ANOVA, multivariate change tests, and mixed-effects growth.
View productHandle complex data$59
Multilevel Models for Education
Model students within classrooms and schools, contextual effects, and random slopes.
View productHandle complex data$59
Actor–Partner Interdependence Model
Estimate actor and partner associations for distinguishable dyads.
View productHandle complex data$59
ABAB Single-Case Design
Combine visual analysis, nonoverlap, segmented regression, and design simulation.
View productHandle complex data$59
Panel & Archival Firm-Level Data
Move from firm-year records to defensible panel models and sensitivity checks.
View productANALYZE EDUCATION STUDIES · 4 AVAILABLE
Applied education methods
Address categorical outcomes, prediction, educator surveys, and improvement cycles in education research.
Analyze education studies$59
Categorical Educational Outcomes
Model binary, ordered, and unordered outcomes with probabilities and diagnostics.
View productAnalyze education studies$59
Predictive Analytics & Machine Learning
Compare predictive models while preventing leakage and reviewing calibration and subgroup performance.
View productAnalyze education studies$59
Education Survey Analysis & Leadership
Connect survey cleaning, reliability, weighting, clustering, and leadership outcomes.
View productAnalyze education studies$59
Improvement Science & Action Research
Analyze PDSA cycles with run and control charts, small-sample pre/post change, and cycle-by-cycle learning for EdD projects.
View productNo exact match
Try a broader term or browse all workflows.
Not sure which workflow fits?
Describe your design and current analysis stage before purchasing.
EVERY AVAILABLE WORKFLOW INCLUDES
Run the example.
Then adapt it.
- Editable R Markdown source and reusable code
- Reproducible synthetic data and a worked report
- Model diagnostics, decision guidance, and exported tables
- Dynamic reporting language, setup notes, and an individual-use license
Run the complete synthetic example before introducing your own de-identified data. Each workflow supports your analysis process but does not replace advisor, committee, or institutional requirements.