IBM SPSS vs Qualtrics

• SPSS has been around for quite a while and has amassed a large suite of functionality. 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. 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.
• Many statistics package users are doing scientific research with an eye to publish reproducible results. 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. It's very portable!
• 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. 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. 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.
• 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.
• 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. There are even several fully-fledged tutorial websites out there for newbie perusal.

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• There are both personal and shared libraries for individual users and business teams.
• Extremely intuitive user-interface that familiarizes users with the platform quickly.
• One can save results to a wide variety of formats (CSV, SPSS, and more) for further data management

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• SPSS is not free and is fairly pricey.
• For those requiring advanced procedures not on SPSS, programmable coding, like in R Statistics, may be more limited and not as robust and use of R or other programs might be needed.
• Statistical Package for Social Sciences and can only be used to perform only statistical operations. Further purchases of other packages will be required.
• Default graphics are far from publication quality. Generally, it’s better to use other programs for graphics.
• Information about effect size and confidence intervals is missing for many techniques.

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• The collaborate feature can be clunky and sometimes we have to remove access and add a person back in for them to see the survey in their lists
• We have a contract through our university and more than one person has created their account in the wrong place, causing some administrative headaches as that is fixed so that we can collaborate on surveys with them.
• I wish it was easier to organize my surveys into folders, there should be a more efficient way to do that.

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• IBM SPSS has allowed me to quickly analyze data for research.
• IBM SPSS has allowed me to complete analyses in order to submit research findings to conferences and complete manuscripts.
• IBM SPSS has enabled me to meet research objectives set out in grant proposals.

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• It can be hard to determine an exact ROI for Qualtrics; however, the data you can bring to the table when important decisions are being made is invaluable.
• The most positive impact has been the ability to spend less time on reporting because the data is so accessible and easily shared.
• The time to analyze raw text data is significantly less when you add Text iQ to your license.

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