IBM SPSS Statistics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM SPSS Statistics
Score 8.5 out of 10
N/A
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).
$99
per month
Pricing
IBM SPSS Statistics
Editions & Modules
Subscription
$99.00
per month
Base
$3,610
one-time fee per user
Standard
$7,960
one-time fee per user
Professional
$15,900
one-time fee per user
Premium
$23,800
one-time fee per user
Offerings
Pricing Offerings
IBM SPSS Statistics
Free Trial
Yes
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details—
More Pricing Information
Community Pulse
IBM SPSS Statistics
Considered Both Products
IBM SPSS Statistics
Chose IBM SPSS Statistics
I, along with my supervised research student, used IBM SPSS Statistics compared to other software because of its simplicity and user-friendliness. A timeframe is a fundamental part of research work. Time is precious for both of us in terms of research work and using IBM SPSS …
Chose IBM SPSS Statistics
Capabilities like effective data predictive analysis production, Cloud data visualization and the ability to handle a large amount of different business data at once using IBM SPSS Statistics is nice and also the collaboration functionalities are the best. The platform helps …
Chose IBM SPSS Statistics
The price of IBM SPSS and its quality-price ratio was one of the triggers for choosing the software over the competition. The ease of obtaining a demo of the product and the continuous training it presents was another of the key points in the decision making we made in the …
Chose IBM SPSS Statistics
IBM SPSS Statistics Logistic Regression's user-friendly interface is among its most important benefits. Without the need for sophisticated technical knowledge, users can navigate and analyze their data with ease. As a faculty member of a university, I used it using its numerous …
Chose IBM SPSS Statistics
In addition to IBM SPSS Statistics, we also use statistical programming languages such as R and Python to perform data manipulation and analysis.

In general, SPSS seems to be better for novice users, because it has a much more straightforward interface and an easier learning …
Chose IBM SPSS Statistics
Compared to Stata, python and MPlus, SPSS is more user friendly especially for beginners. It displays data and output in easily readable formats and makes statistics fun and easy. However, Stata, python and MPlus are more ideal for complex statistical methods like structural …
Chose IBM SPSS Statistics
We tend to shy away from open source where possible. with SPSS from our feeder university system for our co-op interns, this is a great transition and a low barrier to getting them working quickly.
Chose IBM SPSS Statistics
Deriving outcomes using the statistical analysis is the major advantage over all the above tools.
Chose IBM SPSS Statistics
For my own statistical analyses, I personally use R and MPlus. However, these tools have a steep learning curve and require dedicated time and a course on their own. In m yopinion, they are not useful for trying to quickly acclimate undergrads to the new world of stats and …
Chose IBM SPSS Statistics
We have also analyzed and used products such as Minitab, R, Matlab, Q, Statistica, SAS and Stata. SPSS compares very well to them and has strengths and weaknesses just as any other analysis software. For our work environment, SPSS is the standard.
Chose IBM SPSS Statistics
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 …
Chose IBM SPSS Statistics
I prefer Q for creating banners, but SPSS is a nice tool for doing advanced data runs or quick data checks.
Chose IBM SPSS Statistics
- It's very user-friendly.
- It can be used from simple to advanced analytics.
- It runs faster and smoother than other software.
Chose IBM SPSS Statistics
Its better for quick tasks, Psychology, Sociology, may lack in complex models, AI, or business-decision-making models. It's better for things that you want to compare, correlate or detect influence of one on the other. It's worse that R for complex models, custom models, big …
Chose IBM SPSS Statistics
I also use or have used Tableau, Excel, and R (wasn’t able to list R above). Tableau is better for visualizations, Excel works for generalized/more basic statistical analysis but lacks more complex features, and R has been difficult for me to master and lacks the UI and ease of …
Chose IBM SPSS Statistics
Cost was a leading factor
Chose IBM SPSS Statistics
IBM SPSS Statistics beats the pants off of Minitab in every area except cost. Minitab has far cheaper entry-level costs, but the software is much more limited. With the versions of Minitab I have used, importing mapping data is a non-starter. With IBM SPSS Statistics, once the …
Chose IBM SPSS Statistics
I described this in a previous question. R is free and full of features, but time consuming to learn, especially since you have to download different libraries for whatever you're doing. I know IBM SPSS Statistics fairly well, and it has been worth the cost, but maybe not for …
Chose IBM SPSS Statistics
As a tech-lover, I used many software products, such as Stata, R Studio, Python, Orange, Jupyter Notebook, MatLab, Julia, Hadoop etc. Each software has its own specific features. However, I like open
Chose IBM SPSS Statistics
[IBM] SPSS is by far the best of the statistics software applications in terms of functionality and accessibility, but its biggest drawback is price. SPSS is prohibitively expensive in comparison to the other competing statistics applications such as R and SAS, making the …
Chose IBM SPSS Statistics
Easier to build ensembles and also in forecasting than with Python. De trending and deseasonalizing data are far easier.
Chose IBM SPSS Statistics
Tabright much easier to use.
Chose IBM SPSS Statistics
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.
Chose IBM SPSS Statistics
SPSS is much easier to learn even for people with basic knowledge of statistics.
Chose IBM SPSS Statistics
SPSS is the original statistical package. It might not have all the bells and whistles as they newer statistical software programs that you see out there now, but it does the fundamentals. Many of the more cloud base packages you have to upload datasets, and can't really …
Top Pros
Top Cons
Best Alternatives
IBM SPSS Statistics
Small Businesses
IBM SPSS Modeler
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Score 7.8 out of 10
Medium-sized Companies
Alteryx
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Score 9.0 out of 10
Enterprises
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Score 7.8 out of 10
All AlternativesView all alternatives
User Ratings
IBM SPSS Statistics
Likelihood to Recommend
8.5
(85 ratings)
Likelihood to Renew
8.6
(22 ratings)
Usability
8.0
(14 ratings)
Availability
6.0
(1 ratings)
Performance
6.0
(1 ratings)
Support Rating
6.4
(12 ratings)
Implementation Rating
8.7
(7 ratings)
Configurability
5.0
(1 ratings)
Ease of integration
5.0
(1 ratings)
Product Scalability
5.0
(1 ratings)
Vendor post-sale
5.0
(1 ratings)
Vendor pre-sale
5.0
(1 ratings)
User Testimonials
IBM SPSS Statistics
Likelihood to Recommend
IBM
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
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Pros
IBM
  • 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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Cons
IBM
  • 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.
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Likelihood to Renew
IBM
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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Usability
IBM
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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Reliability and Availability
IBM
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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Performance
IBM
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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Support Rating
IBM
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
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Implementation Rating
IBM
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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Alternatives Considered
IBM
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.
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Scalability
IBM
I am neutral because I have not had to look into scalability since I am using as a student.
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Return on Investment
IBM
  • 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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