SPSS compute statistics and standard data errors from complex data sample designs and analyses data on multi-stage designs, whereas Stata allows creating web pages, texts, regressions, results, reports, graphs, etc., which automatically reflects on a web page created.ĥ. SPSS has advanced features such as random effects with solution results, robust and standard error handling, profile plots with error bars, whereas Stata discovers and understands the unobserved data groups on the basis of Latent Class Analysis (LCA) which is a feature of Stata.Ĥ. SPSS enables the data to be summarized, displayed and gives production-ready analysis that can be exported to different types of document such as Excel, PDF etc., whereas Stata combines endogenous covariates, sample selection and endogenous treatment models for continuous and positive outcomes.ģ.
The key features of SPSS include forecasting and decision trees on data, base edition, advanced statistics and custom tables add-on package, statistics and charting capabilities, complex sampling and testing add-on whereas Stata has different add-on packages such as latent class analysis, endogeneity, Spatial AR models, markdown, nonlinear multi-level models, finite mixture models, threshold regression etc.Ģ.
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