Simple, quicker, and time saving software for researchers
It is a perfect tool for any type of dataset analysis that I need for my research project and works flawlessly when it comes to …
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What is IBM SPSS Statistics?
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),…
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Assistant Professor
Atish Dipankar University of Science and Technology (Education Management, 501-1000 employees)
Video Reviews
1 video
IBM SPSS Review: Analytics Team Is Able to Review Statistics Quickly & Comprehensively
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Pricing
Subscription
$99.00
Cloud
per month
Base
$3,610
On Premise
one-time fee per user
Standard
$7,960
On Premise
one-time fee per user
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://www.ibm.com/products/spss…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
IBM SPSS Custom Tables Explained in Two Minutes
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The IBM SPSS Regression Module Explained in Two Minutes
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IBM SPSS Bootstrapping Explained in Two Minutes
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IBM SPSS Advanced Statistics Explained in Two Minutes
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Product Details
- About
- Competitors
- Tech Details
- FAQs
What is IBM SPSS Statistics?
IBM® SPSS® Statistics is a statistical software platform boasting an interface and feature set that lets organizations extract
actionable insights from data. Advanced statistical procedures help
ensure high accuracy and quality decision making. All facets of the
analytics lifecycle are included, from data preparation and management
to analysis and reporting.
IBM SPSS Statistics Competitors
IBM SPSS Statistics Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Mac |
| Mobile Application | No |
Frequently Asked Questions
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).
SAS Viya, SAS Intelligent Performance Management, and SAP BusinessObjects Business Intelligence are common alternatives for IBM SPSS Statistics.
Reviewers rate Implementation Rating highest, with a score of 8.7.
The most common users of IBM SPSS Statistics are from Enterprises (1,001+ employees).
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Reviews and Ratings
(435)Attribute Ratings
Reviews
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March 06, 2024
SPSS the software package that keeps on ticking
Run regression analysis on small and large data sets with adjustable CI. I have been using this for many years, and the modeling has been helpful in the predictors; yes, the output is basic but that is what makes this nice and clean, and it can be imported to reports easily and presented well on a slide deck.
- Easy to use.
- Don't need a lot of data prep to manipulate the data or clean it.
- Running a bit old in the UI.
- easy to get your ROI back as most people have the exposure via college
- shallow learning curve
We use it heavily for regression analysis given to co-op students to use as this has been an easy transition from their academic coursework. And used for predictive modeling.
This is a basic tool used to tease out improvements throughout the org when modeling the outcomes of processes. And increase efficacy. The cost savings have been proven to justify this process.
- Python IDLE and Posit
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.
50
from BI to basic analytical research on big and small datasets. when generating reports that can by built by syntax scripts. The syntax builder and library is a huge time saver as once built the same report can be generated, if a new set of parameters are needed the current syntax script can be edited and put in production with a short period after vetted
the peer managed support is the best way to resolve things as the hive mind to bring forth the best ideas and practices from different backgrounds will provide a robust solution. Plus SPSS is pretty intuitive when you use this a basic tool and everyone has prior experience with the tool.
- regression analysis
- basic statistics
- easy to adopt from prior knowledge
- huge library of syntax scripts
- self hive managed solution problem solving
- teach more non stats people to use the libaray of syntax
Yes
excel, not a statistical package
- Ease of Use
most post secondary grads have exposure already
no change, ease of use and adaptation i key as people actually use it right
- Implemented in-house
No
Change management was minimal
the use of spss over the years have been pretty standardized and the implementation was pretty straightforward as most user were standalone install verse this version
- notification of change, not everyone pays attention to the notices
no, as we have good in house resouces
No
nothing comes to mind as we hardly need to call support as the issues are resolved in house
- just the whole end to end usage, pretty intuitive
- feeder system from post secondary helps with the adoption
- does do meta analysis, so we use another package
March 05, 2024
IBM SPSS - Good for automated systems
We use SPSS for all our data and statistical analysis needs. Most of our critical analysis and reporting systems are driven by SPSS programs. We also use SPSS for ad-hoc modeling and data requests. In addition, we are able to automate our systems which improves the data integrity and speed of our work.
- Mathematical modeling
- Creation of self sustaining systems
- Data manipulation
- The flexibility of the reporting could be enhanced
- Certain modules are not as user friendly as they could be
- Using SPSS has increased our ROI because we maintain compatibility with our clients.
SPSS has positively impacted our organization by allowing us to build our automated analysis and reporting systems. We have millions of lines of syntax that takes data from hundreds of different formats and creates one centralized data warehouse. Years ago, SPSS was the only software package that allowed us to read very specific data formats that others could not.
IBM SPSS has allowed us to be compatible with other companies and organizations when transferring data. This has made us more competitive in our business space.
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.
2
President and data analyst.
1
Data analyst.
- Survey data
- Advertising data
- HR data
- Import and export functions
- Integration with customer systems
No
- Integration with Other Systems
SPSS is the standard in statistical software.
There would be no change.
- Implemented in-house
No
Change management was minimal
- No issues encountered
No. Too expensive.
No
No, just never encountered.
- Statistical analysis
- Database management
- Certain statistical tests
No
January 15, 2018
SPSS the best menu-driven statistical program.
SPSS is used in various pockets throughout the institution by both researchers and administration. It is far from the only statistical tool in use, but because many of the administrators were trained in colleges of education it is the most commonly used tool. Further, as a menu driven tool, the learning curve is easier for new users who enter administrative departments. Note that in MOST cases SPSS is being used as a desktop product.
- Menu-driven interface allows for new, non-programming users to become productive quickly. This capability is significantly stronger than competing products, whose menu-driven interfaces often lack many important analytical features.
- Syntax (code-based) interface allows for coding of repetitive analysis and automation. While most tools have this, it is an invaluable piece of the software that allows for access to less common options and provides a clear way of documenting any process. Further, SPSS puts the syntax for each command into the output file, making it easy to see exactly what command resulted in what output.
- The output from SPSS commands has been enhanced to provide most of what an analyst needs in order to make a decision. This is helpful for new analysts, as it can guide them in the direction of a more complete analysis.
- SPSS is rock solid. This is a well-established product with 24 versions under it's belt.
- While substantial improvements have been made, the graphic capabilities remain opaque syntax-wise and relatively rigid through the menu driven interface. You need to know what you are doing, and even then the graphs created are not necessarily the best looking. I tend to extract the data and build presentation graphs in other tools.
- Data mining capabilities are provided, but at a HUGE cost in a different tool. As a non-profit, SPSS Modeler is out of our price range.
- Picky thing - SPSS does not compute marginal effects. Tools like SAS, STATA and R either provide those calculations automatically or at the very least make them trivial to get at. SPSS can't do it at all. From an econometric perspective, this is a HUGE drawback.
- I'm not sure we need a new version with new licensing every single year. This is especially the case if you aren't pushing the limits of the feature set.
SPSS provides the ability to get new analysts up and running more quickly than programming-oriented language, while still providing the flexibility you would expect in a code-able tool.
Depends on the department - Improved decision-making throughout the organization, but also student retention and progression improvements, financial savings in procurement and other tasks.
- SPSS has made repeatable (yearly) analysis a reality, with minimal maintenance and therefore substantially less analyst time after the first year. It's hard to put time saved into $$ but the increase in time available for other tasks has been statistically significant.
I use Stata for tasks that SPSS cannot support, but ultimately SPSS has a short learning curve, strong statistical processing, and a mature tool set. SAS is also mature, but more programming based. JMP tries to 2nd guess what I need. NOTE: R (open source) is a great option as well, BUT also is programming only. SPSS hands down has the best menu-driven options.
500
Research and development, analytics and certain functional areas that require survey analysis.
All users are using the desktop version of SPSS, therefore the only support required is installation and re-licensing on a regular basis.
- Statistical analysis of research projects
- Predictive models using logistic regression
- none that I can think of.
- None for base SPSS - new ways to use it will involve purchasing SPSS modeler.
No
- Product Features
- Prior Experience with the Product
Experience with the product in university. I already knew it, it had a short learning curve for even advanced features and it could do almost everything I needed. Reducing startup time was invaluable.
No change, since it was skills I learned prior to this position that drove the selection. If I didn't know ANY tools, however, I don't know whether SPSS would have won out or not. Never underestimate the power of teaching your tool to college students.
- Implemented in-house
No
Change management was minimal
- A new version is released every year and keeping up with those versions and their licensing has proven a challenge in a large organization.
No
Too many individuals would require access, making it not an effective expense for the university
No
- Menu-driven interface makes nearly everything easy to do
- Built in identification of duplicate records based on one or more criteria
- You cannot get marginal effects
No