About IBM SPSS Statistics

SPSS is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions. It is designed for both interactive and non-interactive (batch) uses. The software is a Windows based program that can be used to perform data entry and analysis and to create tables and graphs. SPSS is also capable of handling large amounts of data and can perform all of the analyses covered in the text and much more. It is also used by market researchers, health researchers, survey/data collection companies, Government, Education researchers, marketing organizations, data miners, and others.

Specification

Deployment

  • Web

    web-based

Operating system

  • W

    Windows

Best suitable for

Size :

1-10

11-15

16-200

201-500

501-1000

1001-5000

5000+

Organization type :

SMEs

Mid Market

Enterprise

Govt

PSUs

Startups

Agencies

Industries :

  • ITES

About IBM India

International Business Machines Corporation (commonly referred to as IBM) is an American multinational technology and consulting corporation founded in 1911, with corporate headquarters in Armonk, New York.IBM manufactures and markets computer hardware, middleware and software, and offers infrastructure, hosting and consulting services in areas ranging from mainframe computers to nanotechnology.
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Features

Provides a wide variety of analytics capabilities including descriptive statistics, linear regression and presentation-quality graphing and reporting. Access multiple data formats without size constraints. Advanced data preparation capabilities also enable you to eliminate labor-intensive manual checks. Leverage bivariate statistics procedures, factor and cluster analysis as well as bootstrapping. Further extend your capabilities with R/Python.

Enables you to summarize and display your analyses in production-ready tables, exportable to Microsoft or PDF. Present survey results using nesting, stacking and multiple response categories, and manage missing values. Also provides univariate and multivariate analytical techniques and models to improve the accuracy of your analyses. Includes non-linear and general linear models and mixed model procedures as well as logistic, 2-stage least squares regression and survival analysis.

Helps you compute statistics and standard errors from small or complex sample designs. Predict numerical and categorical outcomes from non-simple random samples, and account for up to three stages when analyzing data from a multistage design. Also enables you to access regression with optimal scaling including lasso and elastic net. Additional features include categorical principal components analysis, multidimensional scaling and unfolding, and multiple correspondence analysis.

Enables you to develop forecasts and predict trends using time-series data. Includes ARIMA and exponential smoothing forecasting capabilities. Automate model parameters, and test your data for intermittency and missing values. Also features decision trees, based on four tree-growing algorithms, to help you present categorical results and discover relationships between groups. As well, allows you to create neural network predictive models and RFM analysis to test marketing campaigns.

New advanced features include random effects solution results (GENLINMIXED), robust standard errors (GLM/UNIANOVA) and profile plots with error bars. Also now supports Bayesian statistics, an alternative method of statistical inference. This feature includes new syntax and GUI elements that are easy to run. Also updated are powerful new charting capabilities such as new default templates and the ability to easily share with Microsoft Office applications. For a full list, follow the CTA below.

Plans and Pricing

Web-based

Base

Rs. 88474.00 ( Per Year )

  • Read/write text; Excel; SAS; and more; no size limits
  • Descriptive statistics; data prep; and graphing
  • Programmability/extensibility; supports R/Python
  • Bivariate statistics procedures; factor and cluster analysis
  • Linear and ordinal regression
  • Basic reporting with export to Microsoft/PDF

Standard

Rs. 196059.00 ( Per Year )

  • Read/write text; Excel; SAS; and more; no size limits
  • Descriptive statistics; data prep; and graphing
  • Programmability/extensibility; supports R/Python
  • Bivariate statistics procedures; factor and cluster analysis
  • Linear; non-linear; ordinal; logistic and 2SLS regression
  • Drag and drop interactive tables with export to Microsoft/PDF
  • Generalized linear modeling and survival analysis
  • Bayesian Statistics

Professional

Rs. 393534.00 ( Per Year )

  • Read/write text; Excel; SAS; and more; no size limits
  • Descriptive statistics; data prep; and graphing
  • Programmability/extensibility; supports R/Python
  • Bivariate statistics procedures; factor and cluster analysis
  • Linear; non-linear; ordinal; logistic and 2SLS regression
  • Drag and drop interactive tables with export to Microsoft/PDF
  • Generalized linear modeling and survival analysis
  • Bayesian Statistics; advanced data preparation; decision trees and forecasting
  • Single/multiple missing value imputation

PREMIUM

Rs. 586762.00 ( Per Year )

  • Read/write text; Excel; SAS; and more; no size limits
  • Descriptive statistics; data prep; and graphing
  • Programmability/extensibility; supports R/Python
  • Bivariate statistics procedures; factor and cluster analysis
  • Linear; non-linear; ordinal; logistic and 2SLS regression
  • Drag and drop interactive tables with export to Microsoft/PDF
  • Generalized linear modeling and survival analysis
  • Bayesian Statistics; advanced data preparation; decision trees and forecasting
  • Single/multiple missing value imputation
  • Exact tests; complex sampling; bootstrapping; SEM

Basic

Rs. 6370.00 ( Per User Per Month )

  • Desktop edition available on Windows and Mac
  • A variety of statistical procedures such as factor analysis clustering and linear regression
  • Advanced data preparation and bootstrapping capabilities
  • A wide range of reporting and export options including Microsoft/PDF
  • Syntax and open source programming

Videos

IBM SPSS

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FAQs

Below are some frequently asked questions for IBM SPSS Statistics

Q. What are the major differences between Subscription and Version 25?

Subscription is the newest way to buy SPSS Statistics. It has simpler packaging, easier downloads, easier licensing via IBMID and monthly subscription pricing. New features are added to Subscription first, making it easier to keep software up-to-date and enjoy the latest product features.


Q. How do I reactivate my subscription?

You can reactivate a cancelled or lapsed subscription by repurchasing the software using the same IBMID as before.


Q. Do I have to be online to use Subscription?

Subscription can be used offline, but requires authentication every two weeks. A working internet connection is required for this step.


Q. Can I apply a license key to Subscription?

SPSS Statistics Subscription is a new offering that does not use license keys. To utilize a license key, you will need to download and install the appropriately numbered software or GradPack software from your place of purchase.


Q. After my Subscription trial has ended, do I need to re-install the purchased version of the software?

You do not need to re-install as long as you use the same IBMID for both trial and purchase. Subscription will automatically convert from the trial to the purchased version.


Reviews

Add Review
User

Samantha

Overall

16th August, 2018

Ease of Feature

Ease of Use

Value for money

Customer Service

  • Pros -
  • I've been using SPSS for a few years now, and I think it's not more than logical that it's the market leader for the segment. It's GUI makes it easy for beginners to work with it, but the understandable and fast to learn syntax makes it very neat to work with for the more advanced researcher.
  • Cons -
  • The only pity for the software package is the extreme pricing. I'm now using SPSS Base because of the high price for the more advanced packages, but that also means that I'm missing out on (what I think are) quite standard needs for a researcher, like logistic regression and tables. I've tried some open source packages like PSPP and R, but still SPSS is worth the money, although I think for that amount they could 'upgrade' the base package a little more to include all the basics.
User

Rashid C.

Overall

16th August, 2018

Ease of Feature

Ease of Use

Value for money

Customer Service

  • Pros -
  • Extremely user friendly, you can conduct analysis with or without code, from simple linear regressions to complex neural networks can simply be done with the click of a button through the drop down media.
  • Cons -
  • Menus are very clunky and not visually appealing. Some advanced metrics for analysis are not easily accessible, these include SVM, decision trees etc.

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