IBM SPSS Statistics vs. Qualtrics XM for Strategy and Research

IBM SPSS Statistics is well suited for pretty much any data analytic scenario. It can handle extremely complex and large-scale datasets with ease. It especially shines if you have to do any kind of analyses that involve significance testing. Being able to do any number of significance tests (i.e., t-tests, chi-square, ANOVAs, etc.) right inside the tool is very valuable. The only scenario I would say it is less appropriate is if you need to work on a very small dataset and answer very simple questions, like frequencies or averages. In those cases, something like Excel could probably do the job just as easily.

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Qualtrics is a good medium for creating surveys and getting analytics back for it. I think it's easy to learn if you are in the business of creating surveys or if it's part of your studies. It can be a little overwhelming for a brand new user who has never created a survey for the first time. So onboarding could be better.

• 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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• Qualtrics CoreXM is easy to use for quick one-time surveys or for measuring opinions over time
• It's great for sending/managing RSVPs for meetings or other gatherings or to collect important data like Conflict of Interest declarations.
• Qualtrics CoreXM's reporting and crosstab functionality is beefy and gets better all of the time. I'm always amazed at how easy it is to generate reports for sharing my survey response data and research.

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• Cost is becoming prohibitive.
• Availability of procedures in the base package seems to be dwindling.
• The copy-and-paste function from output to Excel is not as easy as it once was (now I have to do a "paste special").
• Text and date handling are terrible.
• Need to include AI-based NLP for survey verbatims and other text-based fields. This is becoming increasingly important in the CX world, yet SPSS seems to be ignoring it.

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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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Both
money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
entry and data analysis for my research. Output from SPSS is very easy to
interpret for data analysis and findings

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I was impressed a couple years ago when two heads of market research at Fortune 500 companies told me about them, and I've been even more impressed with the advancements I've seen in the last year. I like where the company is headed, and I look forward to using them again in a future role.

Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.

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All the menus are very user friendly and intuitive. I can always find exactly what I'm looking for and can change anything I need to with ease. All the elements of the survey are adjustable with very little effort and without confusion.

SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data

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SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.

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I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end

Whenever we have had an issue with trying to figure out how to do something (even though the documentation is incredibly well put together) we have asked Qualtrics support and have always received our answer nearly immediately (I think in maybe 10 times, only once did a support person need to call us back). Qualtrics support is dedicated to solving customer issues right, and in the first contact, if at all possible

I still use it. It does everything you need an online survey to do. From heat mapping to complex skip logic and display logic. I use it weekly and it never disappoints

Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.

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I like being able to easily integrate new colleagues by simply giving them a log in user name and password

If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 years ago and has shown no desire to improve.

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]Qualtrics] CoreXM is great if you want something that is a little more [long] lasting and impactful than a simple survey engine, but aren't quite ready for something that is a long term sustainable program. I would put [Qualtrics] CoreXM squarely in the large, defined project phase. CX is more of the program phase, and other lessor vendors are great for the pre-project definition phase

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I am neutral because I have not had to look into scalability since I am using as a student.

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• I found SPSS easier to use than SAS as it's more intuitive to me.
• The learning curve to use SPSS is less compared to SAS.
• I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.

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• Increased productivity due to the highly intuitive user-interface and template saving capabilities.
• Reporting and analytics are extremely valuable. Our team can track responses and share feedback/results extremely quickly.
• If a user has created a great template, they can share to external teams quite easily. It helps other departments!

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