![]() STATA discovers and understands the unobserved data groups on the basis of Latent Class Analysis. STATA has different add-on packages including Spatial AR models, latent class analysis, markdown, finite mixture models, threshold regression, nonlinear multi-level models etc. The program has command lien and good documentation features which are useful for the users to understand the report after data analysis. It is mainly utilised in econometrics, where the economists and researchers try to conduct economic data analysis and future predications. STATA is mainly utilised for normal analysis, not for complex and critical data analysis. SPSS has advanced features including robust and standard error handling, random effects with solution results, and profile plots with error bars. These features are beneficial for data analysts as they have to perform a critical analysis of a vast range of data. ![]() ![]() ![]() SPSS has several features like statistical operations, charting, forecasting and others. The report format of SPSS with graphical representation is also beneficial for the users to understand the data and analyse the final report successfully. Though there are some disadvantages of using SPSS such as expensive, limited functionality and very similar to excel, the researchers are utilising the SPSS software widely in order to ensure data mining and conduct in depth critical analysis for further future prediction. It is very quick and easy to learn as well as it can handle large amount of data with great user interface. With the help of Microsoft excel, the researchers try to include the vast range of data in the system for better data mining and representation. ![]() SPSS is an IBM product that is used for quantitative data analysis, where the statistical and mainly numeric data are included for critical analysis. ![]()
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