![]() I have spent many lengthy meetings working with the profiler to review design and process options with never a dull moment. You can also specify desirability (maximize, maximize, match-target) and their relative importances to find factor settings that are optimal. You can monitor the effect of changing factors (Xs) and see how they interact with other factors and the responses. Rather than looking at static figures in a spreadsheet, or a series of formulas, JMP profiles the formulas interactively. One of the best examples of this is JMP's profiler.This makes analyses dynamic and engaging and obviates the complete dependence on understanding p-values and other statistical concepts(though they are all there) that are often found to be foreign or intimidating. JMP makes most things interactive and visual.It's a small thing but it reflects the thinking of the developers: analysts know their data and should only have to think about their data. contingency, ANOVA, linear regression, etc.), with JMP you simply assign the columns in a dialog into roles in the analysis and it chooses the correct statistical method. So, unlike other software where you must choose the correct statistical method (eg. JMP's design is centred on the JMP data table and dialog boxes. In fact, JMP operationalizes the most advanced statistical methods. JMP is designed from the ground-up to be a tool for analysts who do not have PhDs in Statistics without in anyway "dumbing down" the level of statistical analysis applied.There are even several fully-fledged tutorial websites out there for newbie perusal. In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu.SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs.SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. Many statistics package users are doing scientific research with an eye to publish reproducible results.And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. SPSS has been around for quite a while and has amassed a large suite of functionality.More tool tips, feedback, integrated coaching, or something like that to help people understand more about what they are seeing could be so beneficial. Lastly, one of the biggest challenges for beginning (and even experienced!) statisticians is interpreting output. Having to repeatedly go through drop down menus to run analysis after analysis is a huge time suck, and very error prone (easy to click on the wrong thing). The biggest thing I would like to see is to have the "Analyze" function broken into categories, or other buttons, or be able to customize it in some way. Their iconography is a mess, there's very little feedback, and don't even get me started on that last "big update" that basically truncated all functionality. I would love to see IBM SPSS invest more in their UI/UX and increase the usability of this tool because it could be so much better. Their difficulty with the programming portion cuts into their ability to learn the actual analyses, so SPSS is good for that. Psychology undergrads, for example, have to take statistics. If you aren't comfortable programming and you need to do statistics, SPSS is a great choice. Integration Platform as a Service (iPaaS).Customer Identity and Access Management (CIAM).
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