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GUI Features features available via R, Python or SPSS Syntax not listedJASP 0.18.3SPSS 29JASP 0.18.3SPSS 29Please comment, if you find any error or if you have anything to add to the list.
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AnalysisClassicClassicBayesianBayesian
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Acceptance SamplingX
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(repeated) (M)AN(C)OVA and non-parametrics(✓)(✓)
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Audit - Bayesian Tools for the Auditing of OrganisationsmodelerX
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Bain - Bayesian informative hypotheses evaluationX
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BSTS - Bayesian structural time seriesX
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Circular / Directional Statistics - analysis of directions, often anglesXXX
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Cochrane Meta-AnalysesXX
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Descriptives
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Distributions XX
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Equivalence T-Tests (TOST): Independent, Paired, One-Sample XX
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Factor Analysis (PCA, EFA, CFA)✓ / AMOSXX
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Frequencies (Binomial, Multinomial, Contingency, Chi², log-linear regression)(✓)
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JAGS (Bayesian black-box Markov chain Monte Carlo (MCMC) sampler)(AMOS)
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Learn Stats (separate Classical & Bayesian module)XX
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Machine Learning (incl Cluster & Discriminant Analyses)XX
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(Cochrane) Meta-Analysis (PET-PEESE, WAAP-WLS for publication bias correction) X
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(Generalized or Linear) Mixed ModelsX
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Network X
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Power Analysis / Sample Size Planning(✓)(✓)XX
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Prophet / Time Series / PredictionX
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Quality Control(✓)XX
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Regression / Correlation (r, Rho, Tau, (log)linear, multinomial, ordinal, firth logistic, residual(✓)(✓)
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Reliability (✓)X
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Structural Equation Modeling inkl. (PLS) Partial Least Squares, Latent Growth & MIMIC, Mediation, Moderation etc.SEM lavaan & PROCESSAMOS & PROCESSXX
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Summary Statistics XXX
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parametric & non-parametric Survival Analyses(✓)XX
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T-Tests: Independent, Paired, One-Sample (incl. z, Welch, non-parametrics & robust bayesian)(✓)
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Visual Modeling: Automated Plotting, (Non-)Linear, Mixed, Generalized LinearXX
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Sources https://jasp-stats.org/features/ and official IBM SPSS documentation
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Empty field suggests, that this may not be possible
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This table is made and maintained by Thomas Langkamp.
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