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.

What I like most is; it comes with Python IDE

I can't perform most operational research analysis with it

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

Data can be easily imported to the software from data bases and Excel. Once the data is imported the graphical depiction of the data can be used to identify the behavior of data. After understanding the behavior of the data the data can be analyzed using the available statistical models. The most suitable statistical model for the data can be finalized in the process of data analysis. The software has a broad range of statistical models build on linear and regression theories and models. The software is easy to use with an unsophisticated menu driven interface. Anyone with basic mathematical knowledge can use the software for the analysis. An expert in statistics is not needed as data analyzing consists of few simple steps. However , 3- 4 weeks is needed to properly familiarize with the software. Basically four steps can be identified in using this software. First step is importing data , second step is selection of a procedure , third step is selection of a variable for data analyzing and fourth step is generating of results.

The efficiency of the software decreases when the size of data increases. Therefore, this can be a major drawback when used in the sectors such as health care. SPSS has 2 main windows one depicting data and the other depicting results. Therefore the software is too simple with limited windows. The software is very similar to excel and most of the results obtained in SPSS also can be obtained in excel by complex calculations .This is comparatively expensive compared to the similar software. The data should be cleaned before analysis in order to generate correct results.

I like to be able to see the analyzes I have done in the past with a single click, making it easy for me to switch to a new analysis while I am analyzing the data most in the software. At the same time, the program works very fast and I can see all the data analysis I want on a single screen. Again, by allowing the SPSS-Macro extension, I find it successful to do the analysis formats developed by Hayek. While doing this, I do not experience any freezing in the program, it runs smoothly. In this sense, it provides great convenience in terms of coding and processing of my data, as well as during analysis. Similarly, allowing graphics to be made in the program allows me to visualize the results of the analyzes I have obtained.

The lack of language support in the program is a disadvantage for me. Therefore, the only downside about the program is that you cannot access the software in my own language.

The software has almost all the tools the analyst or database manager needs to have. The newer versions also support Armenian characters, which is a huge improvement of the database quality, there is no need any more to transcribe tons of questions and responses.
Also, there are tons of tutorials with detailed explanation, also thick books for folks who prefer the old school method. When writing this review, I couldn't assess the support center, and I caught myself thinking that there are plenty of SPSS users out there and once googled some question, eventually many reviews pop up. That is why I have never contacted the support for help.

When working with large databases, specifically if there are multiple textual columns (non-numeric), the work of the program as well as the computer is obviously slowing down.
Another point is that the missing values should be max 3 or a range plus one value. When creating the variable and defining missing values, one should pay attention and set the values so they won't need to do the re-coding.

In fact, unlike many other statistical programs, I consider that SPSS is the simplest and least complex statistical program, and it will require you only a short time to become familiar with it and master its use.
SPSS program is excellent in descriptive statistics, analysis of variance, and also basic regression analysis, which are very necessary aspects for researchers
The use of this statistical program is not limited to researchers in universities only but can be relied upon in business organizations to prepare reliable and reliable business reports and improve the decision-making process

On the other hand, the SBS program may not be able to deal with very large data, and from my experience, I can also say that the statistical methods used in the field of social sciences (and this is clear from its name), it is very likely that the results and outputs of the SBS program It will change if the user changes the order of the inputs, and therefore the user will have to experiment several times in a different order and compare the results, especially in the aspect of logistic analysis and generalized linear models

It is a very complete program, it has several options, several statistical calculations, graphs and options. It also has great online support and several tutorials on youtube to learn how to use it 100%.

The problem is a bit of a learning curve to understand what each button and option is for. In addition, the price is somewhat high for small projects.