Structural Equation Modeling Tools Online
Covariance-based SEM and confirmatory factor analysis by maximum likelihood, meta-analytic SEM for pooling studies, and the PLS extensions that journals now ask for: importance-performance maps, combined IPMA and necessary condition analysis. Two visual studios, CB-SEM Studio and PLS-SEM Studio, let you draw the model instead of writing syntax.
CB-SEM Studio: drag-and-drop SEM builder
Draw constructs, items, paths, mediators, moderators and covariances, then get model fit, CR, AVE, HTMT, indirect effects and modification indices.
Replaces AMOSPLS-SEM Studio with fsQCA
Draw a PLS path model and get reliability, validity, bootstrapped paths, mediation, moderation, PLSpredict and fsQCA.
Replaces SmartPLSCB-SEM: Structural Equation Modeling Online
Full structural equation models with latent variables: ML estimation, fit indices, standardized paths and indirect effects.
Replaces AMOS · lavaan · MplusConfirmatory Factor Analysis (CFA) Online
Test a measurement model: fit indices, standardized loadings, CR, AVE, HTMT and Fornell–Larcker in one run.
Replaces AMOS · lavaanMeta-Analytic Structural Equation Modeling (MASEM)
Pool correlation matrices across studies, then fit a path model: two-stage SEM with random effects and indirect effects.
Replaces metaSEM (R)Importance-Performance Map Analysis (IPMA)
Find which constructs and items to improve: total effects (importance) against rescaled performance from a PLS path model.
Replaces SmartPLS IPMACombined Importance-Performance Map Analysis (cIPMA)
IPMA plus necessary condition analysis: which drivers matter on average and which are bottlenecks that must reach a minimum level.
Replaces SmartPLS cIPMANecessary Condition Analysis (NCA) Online
Test whether a condition is necessary for an outcome: ceiling lines, effect size d, permutation p-value and bottleneck table.
Replaces NCA package (R)CB-SEM: Structural Equation Modeling Online
Use CB-SEM to test a theory that links latent constructs measured by several indicators, when you care about overall model fit. It is the standard approach in psychology, education and much of management research; PLS-SEM is the alternative for prediction-oriented or formative models.
Confirmatory Factor Analysis (CFA) Online
Use CFA to confirm a measurement model before testing structural hypotheses, to validate an adapted questionnaire, or to establish construct validity in a thesis.
Meta-Analytic Structural Equation Modeling (MASEM)
Use MASEM to test a theoretical model with evidence from many studies, when no single study measured all relationships, or to assess mediation across a literature.
Importance-Performance Map Analysis (IPMA)
Use IPMA after estimating a PLS-SEM model to turn path coefficients into managerial priorities, for example which service attributes to improve first to raise loyalty.
Combined Importance-Performance Map Analysis (cIPMA)
Use cIPMA when you want to know both which drivers raise the outcome on average (sufficiency logic) and which drivers must reach a minimum level before the outcome can be high (necessity logic).
Necessary Condition Analysis (NCA) Online
Use NCA when your hypothesis is about necessity ("X is needed for Y"), not average effects. It complements regression and SEM, which test whether more X tends to produce more Y.
Other categories
Data cleaning and preparation · Describe and explore · Compare means · Nonparametric tests · Correlation and regression · Bayesian statistics · Categorical data · Reliability and agreement · Multivariate analysis · Econometrics and time series · Panel data and causal inference · Marketing and decision research · Survival, clinical and meta-analysis · Study planning and calculators · PLS-SEM