IBM SPSS Statistics Reviews

Used in both academic and professional purpose
Good quality of data monitoring and cleaning.
The ceriousness of the tool mekes it usage very cellective and precoded

The ease of use: to handle the software we should follow a minimum hours of training cession

Very easy to use. High level functionality and easy to perform mechanisms. Fine way of operations. Can run anything from basic descriptive statistics to high level simulations. Easy to import data in different formats (csv, xls, sav, etc.). Data cleaning process are easily executed which includes missing value imputation, data recoding, and data restructuring. Very functional in running multivariate methods like exploratory factor analysis, ANOVA, linear regression, logistic regression, discriminant analysis, and MANCOVA. Most operations are done through interactive dashboard, which is hassle free. Overall it is a great statistical package to run different analysis at a very affordable price.

It is tedious to do multiple iterations using SPSS. Syntax functionality is low and lines of codes become exhaustive when you run monte carlo simulations. The most challenging aspect is to run simulations with large data sets. The support provided by the support team doesn't extend beyond technical support. SPSS requires add ons for running the simulations which cost extra to the users. Overall it is deficient in running certain simulations.

The ability to perform almost all easy and complex statistical analysys without writing code AND the possibility to automate simple and complex tasks by actually writing code. This software is huge and it supports a very large set of feautures.

This software is a milestone for statisticians of all over the world. I've been using it for more than 30 years. This means that this software is aging more and more, and perhaps it needs a faster modernization cycle than the current.

1. It literally covers just so many options of tests, from regression to anova and much more.
2. It's like a one stop destination for all queries related to data
3. Can handle massive amounts of data and inputs

1. A manual/tips section within the software could have eased my learning curve to an extent.
2. UI/UX can be improved
3. High cost

SPSS is a phenomenal resource for data analysis be it for an advanced statistician or a student learning basic research methodology. The program is designed to run very simple analyses (mean, mode, median, SD, T-Tests) to complex theoretical modeling in order to identify and name IV's and DV's. SPSS provides reader-friendly and exhaustive help within the program, as well as live help if needed (which, in my experience is not very often). I love the options that I can add to the output such as graphs, charts, histograms, and what specific data means based on what I want analyzed. Much easier to use that other programs of a similar nature, which means I spend less time asking a colleague in the Math Department if I am using the most appropriate analysis based on the data collected. Also, I appreciate how easy it is to copy and paste tables and images into a text document.

Until there is a technology that allows one to immediately "download" large and complex bodies of information into the brain, I have little criticism for SPSS. If I am in deep water and do not fully understand what the "Help" section is telling me, I simply step backward until I reach a level that I do understand and move forward from there. Kind of like teaching myself. It is unreasonable to blame a program for my own limitations.

SPSS Statistics has a user-friendly interface that makes it easy for users to perform various data analysis tasks, IBM SPSS Statistics has robust data visualization capabilities, allowing users to create clear and concise data visualizations that effectively communicate their findings. IBM SPSS Statistics has a large community of users, making it easy to find support and resources when needed.

IBM SPSS Statistics can be expensive, making it inaccessible to some users.Some users have reported technical support issues, making it difficult to resolve problems when they arise.

IBM SPSS, is a very sophisticated software that specializes in statistical analysis according to different data and variables such as graphical databases, probabilities, percentiles and so on. The most outstanding feature of this software is that it has many modules, which are the computer language of the software and allow a more exhaustive analysis of the information collected in your work. Among the most outstanding modules we have tables, categories of variables, joint analyses, maps, exact tests, data validation, analysis of lost values. It is a software that, with practice becomes the best tool for database analysis thanks to its file system, which facilitates the processing of information. Another advantage of this software is that it considerably reduces the analysis time of statistical variables, making the productivity of workers is optimal.

In order to fully manage IBM SPSS, it is necessary to apply certain computer knowledge, which means that not everyone, including expert social scientists, can use this software in its entirety.

SPSS is a feature rich product that has evolved to serve professional statisticians. It can do almost everything you could imagine. The new integration with R makes it even more capable. If you are trying to perform advanced modeling it can do it. It accepts data in most formats and can export data with ease.

Like a sports car, it is not easy. The menu system is not intuitive and options can be fussy. After years of working with it, I sometimes still end up searching for the test I want. The graphics are widely accepted in academic publications but are far behind those for the more commercial press. Tables often must be reworked to meet the standards necessary for any quality report.
The software comes in several flavors. This is great for saving money but often leaves people wanting features or tests only available in the next upgrade. Given the high cost of the software -- particularly for business customers -- an upgrade can be prohibitive.

SPSS is super user-friendly; you can get started super quickly, even if you do not know anything about syntaxes and coding. I particularly like the ability to create new syntaxes, save them, and use the same code for several similar studies.

I am a big fan of the software for data processing, but data visualization and reporting are not its strongest features. Exporting the data is often required to build analyses and reports.

The range of statistical tests and techniques available from the get-go in SPSS is unmatched, and there are additional modules that can be added to expand the software's abilities. It becomes relatively intuitive the more you use it, and its export options for the results it calculates are quite robust.

SPSS is quite intimidating if you've never used it before, and without guidance, it may feel almost impossible to get started with it. Perhaps its biggest problem is its ongoing legacy support for previous versions--in other words, IBM periodically seems to slap a new front end on the software, but with just a click or two, you immediately encounter dialog boxes and windows that look like they belong on a machine running Windows XP (...or earlier!). The overreliance on pop-up windows makes the interface even more dated and clunky. Honestly, IBM should completely gut the software and start over from scratch, but presumably that's too big of a task, which leaves us with this black box that has been coated with dozens of layers of proverbial paint.