SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
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Qualtrics
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Qualtrics is software for advanced quantitative and qualitative research to design products that satisfy customers, increase market share, and build enduring brands. The platform brings sophisticated quant and qual research together with analytics in a single platform.
We actually use both Q Research Software and IBM SPSS. We started using Q [Research Software] about 5 years ago and initially thought it would replace [IBM] SPSS. While you technically can view .sav files directly in Q [Research Software], we found that the two softwares are …
I have used R when I didn't have access to SPSS. It takes me longer because I'm terrible at syntax but it is powerful and it can be enjoyable to only have to wrestle with syntax and not a difficult UI.
SPSS is easier to navigate, more visually intuitive, and more user-friendly. It might not handle the volume of data that SAS can handle. But 99% of the projects I would be involved with, SPSS handles with flying colors.
JMP is user-friendly like SPSS but is more limited in terms of data analyses.
SAS is better for managing and modifying large datasets. SAS also provides more customization for analyzing things like group differences. However, SAS does not handle modifying string responses well. …
SPSS is more straightforward and user-friendly than R for basic things, so it's nice for students who just want to learn about stats or perform fairly routine or minimal statistical operations and analyses.
IBM SPSS is generally pretty comparable with Stata, except that Stata offers more niche analytical tools because of the active user community that adds new custom functions all the time. IBM SPSS syntax is much, much, easier to learn than R or SAS.
I used to pull my hair out using IBM SPSS. The instructions were difficult to follow and the programming took forever. Since we have sued Qualtrics I have never used anything else since. If I never have to open IBM SPSS again it'll be too soon. One other thing that I forgot to …
The Campus Lab product was also great. I actually preferred it for campus use as they had a much better support for people who did not have a background in survey construction. That would have been great for faculty. But as someone trained in survey research, I found both …
It took a bit more time to learn Qualtrics, but they have better features.
Verified User
Professional
Chose Qualtrics XM for Strategy and Research
Other survey firms such as GfK and YouGov program your surveys for you. I prefer using Qualtrics to have complete quality control over the programming. However, I like that GfK and YouGov develop their own quality pool of respondents; Qualtrics, on the other hand, contracts out …
Qualtrics is far more powerful with more features in terms of logic, control, analysis and ease of editing the survey content.The support team also makes an enormous difference.
Qualtrics is a solid platform. It has all of the features a market researcher would need for collecting quantitative survey data. It is meeting my needs for the projects I am working on presently. It is more robust than Cvent and on par with Vision Critical as an enterprise …
Verified User
Employee
Chose Qualtrics XM for Strategy and Research
I've tried free versions of other survey software, and nothing stacks up compared to Qualtrics. First, the UI of Qualtrics is superior to its competitors. Second, the number of question types available is outstanding. Third, I prefer how Qualtrics allows you to organize your …
Qualtrics is a better tool when you need to collaborate a survey with a team. Instead of charging a per-user fee, Qualtrics can help you set up an enterprise-wide account so that you can always share your work with anyone that needs to be involved. Qualtrics can also store all …
SPSS is well-suited for the following: 1) User Behavior Analysis: SPSS handles large datasets to analyze user behavior data. 2) Customer Satisfaction / Foundational Surveys: SPSS facilitates analysis of quant data from satisfaction surveys, keeping us informed about customer needs and preferences. 3) A/B test analysis: SPSS statistical tools for A/B test analysis, which helps optimize user experience of our products. Scenarios where SPSS are less appropriate: 1) Qualitative Data Analysis: I do not use SPSS for open-ended survey responses/qual data. 2) Live/in-vivo data analysis: SPSS is not ideal for real-time data processing. 3) Complex Data Integration: SPSS isn’t the best fit for complex data integration tasks
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.
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.
It would be beneficial to have AMOS as part of the SPSS package instead of purchasing it separately.
It would be beneficial to have other statistical tests, such as PROCESS, be part of the standard SPSS tests instead of having the need to run a syntax to have it installed.
My dataset tends to be smaller, and I have never had any issues with using SPSS. I heard that SPSS may not be optimal when handling large datasets.
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.
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
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.
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.
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.
I have used R when I didn't have access to SPSS. It takes me longer because I'm terrible at syntax but it is powerful and it can be enjoyable to only have to wrestle with syntax and not a difficult UI.
]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