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IBM SPSS Statistics

IBM SPSS Statistics

Overview

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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Recent Reviews

GOOD SOFTWARE IBM

8 out of 10
March 22, 2024
Incentivized
thanks to the fact that IBM® SPSS® Statistics is an incredible statistical software platform, we can make decisions in real time in our …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Video Reviews

1 video

IBM SPSS Review: Analytics Team Is Able to Review Statistics Quickly & Comprehensively
02:42
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Pricing

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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
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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

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 offers an interactive demo: https://ibm.biz/SPSS_Statistics_demo


IBM SPSS Statistics Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Mac
Mobile ApplicationNo

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).

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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Comparisons

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Reviews and Ratings

(417)

Attribute Ratings

Reviews

(1-25 of 85)
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Sinjini Mitra | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Data analysis
  • Visualization
  • Statistical modeling
  • Statistical inference
  • Analyzing in multi-response items for categorical data. The frequency distributions are harder to interpret in such cases and often have to be manually done.
  • The visualization output can be made more sophisticated and interactive.
  • More modeling and statistical methods can be added, including decision models, optimization models, and linear programming.
Samira Islam Resmi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • Simply best for analysis
  • Best for large data set using Likert scale base questionnaire
  • It was used for numerous statistical analysis smoothly
  • programming language may be added
  • Output as figures, like different types of charts, may be improved.
  • A customized price plan is possible.
Alimah Feizah | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Statistics analytics tools.
  • Data visualization ability is very reliable.
  • Budgeting features.
  • Data recovering functions.
  • Just on processing big volume of data the process can be slow.
  • Recovering multiple big data.
  • Configuration of Cloud options when new to the tool.
March 22, 2024

GOOD SOFTWARE IBM

Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • classify results using neural network models
  • allows sharing analysis data in the company
  • allows testing theories before production
  • highly complex systems for certain employees
  • requires prior knowledge
Md Masudul Hassan | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Productive Data Management Tools
  • Easily usable interface for academicians, researchers and others
  • Giving users access to some features for free at first and allowing them to customize pricing options would be advantageous to academics, researchers, and students in developing nations as well.
  • Graph-related output may improve.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
  • Easily enables a range of statistical tests and procedures
  • Easy-to-use interface
  • More simple to learn for beginners
  • Limited options for performing bespoke types of analysis
  • Limited options for customising data visualisations
  • Can be laggy with large datasets
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • No code, user friendly statistical analyses
  • Wide range of statistical methods offered
  • Intuitive graphs and tables
  • Offer HLM and latent growth curve modelling
  • Exportable, neatly formatted correlation matrices
Score 9 out of 10
Vetted Review
Verified User
  • Comes with various in-bulit algorithms for easy apply
  • Data Analysis and deriving outcomes
  • End-to-End Statistical procedures within the same Software suite
  • Easy to use Interface
  • First time setup of software has glitches, i.e. infinite sign-in loop.
  • Need to purchase add-ons separately for advanced algorithms and features.
  • UI looks outdated.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Easy to use
  • Output appears as pre-made tables
  • Intuitive GUI system
  • Can be easier to look at your dataset and each variable
  • More advanced analyses
  • Putting output in APA or other relevant formats
  • Ability to use/save syntax easily (replicability) relative to other systems
  • Cost
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Allows you to view data in both its numeric and labeled form
  • Runs quick frequencies and crosstabs
  • Ability to write syntax for repetitive tasks
  • Licensing is a nightmare - whether purchasing a new license or trying to transfer an existing license to a new computer, it's a very difficult process.
  • [IBM SPSS] has a steep learning curve.
  • [Because it is a] data intensive program, [it] sometimes slows your computer down and crashes.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Simple quick data exploration
  • Building regression models
  • Quickly finding the reliability of questionnaires
  • Running parametric or non-parametric tests
  • It could have a more standard interface
  • It should be able to create nicer graphs and tables
  • Transforming variables view could be less clumsy
  • It could suggest which statistics or tests could be useful to the user in the options windows
February 14, 2024

A Data-Driven Staple

Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • conducting advanced statistical analysis (ANOVA, regression, etc.)
  • data management (cleaning, manipulation, transformation)
  • data visualization (creating charts/graphs/plots that are clear and insightful)
  • collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
  • integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
  • user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Handles my data set well when performing data analysis.
  • Script is easy to setup and use in SPSS.
  • There is a plethora of statistical tests there are available in SPSS.
  • 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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Data Conversion
  • Variable creation from data analysis
  • reduce time needed to analyze actionable data
  • very large data sets reduces IBM SPSS Statistics capabilities
  • some functions present usability difficulty
  • a more user friendly and robust dashboard
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Multivariate statistical analysis
  • Cross tab analysis using non-parametric tests of significance
  • Data analysis leading to data conversion and data cleaning
  • I've found some of the features do not change in functionality from version to version, but where to find those features does change from version to version.
  • Overly complex dialog boxes can make analysis cumbersome in my opinion.
  • The lack of the ability to turn on a real-world statistical coach can be problematic for less experienced users who don't understand the subtle differences between tests of significance or when to choose what analysis.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
  • Generates results quickly
  • Easy to ready output
  • Easy to manage
  • Better documentation
  • Problem with complex billing process for an individual subscriber. Seems hard for IBM SPSS Statistics to understand that I'm on my own, not in a big organization. Most individuals are probably now using "R" instead of IBM SPSS Statistics, but my decades of using IBM SPSS Statistics make me more comfortable with it, even as I started off on IBM SPSS Statistics using punch cards. :-)
  • Logistic Regression should be in the base subscription level, particularly for education research. I was annoyed that I lost access to it between projects without any notice and had to pay more to get it back.
Score 9 out of 10
Vetted Review
Verified User
  • Cross-tabulation
  • In-built inferential analyses
  • Data cleaning
  • Predictive modelling
  • IMB SPSS lacks some advanced analytics, such as multivariate decompostion
  • Non-linear fair lee decomposition
  • Advanced Spatial Analyses
  • Moran's plot
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