IBM SPSS Statistics Features

I have been using 32-bit version of IBM SPSS statistic software for more than 5 years to perform various statistical analysis and data entry purposes. It is a flexible software to analyze large set of tabular data compares to other products. It also provides the user-friendly platform to set up and carry out the data entries which can help to enter the data from the questionnaire surveys effectively. SPSS designed to support all required statistical analysis for decision making which range from descriptive statistical functions such as central tendency, distribution and shape to certain inferential statistical assessments. Obviously, SPSS software is a great option for statistical analysis and data entries to both academics and enterprise users.

In order to perform statistical analysis users must have the knowledge in scripting to operate the tools in SPSS (Especially in the desktop version). Cost is another drawback, however there are several options available including monthly subscription methods and academic editions.

It is a great tool to filter all your data and with that to be able to propose a regression or predictive model that allows you to understand what the data you have says, it is important to know that you can configure the software with the specifications you want, it is important to note that all this requires a previous knowledge to have all the performance of the program, it is important to know that you can configure the software with the specifications you want, it is important to note that all this requires a previous knowledge to have all the performance of the program.

The only drawback is that you need to pay a subscription to use it as well as know that by itself this program does not do everything a data analyst needs, that is, you need to work with programs like Minitab or STATA to take advantage of all that this software tells you, since as such, only gives you ideas of what is happening with your data.

Ease of use and simple navigable interface and great inapp tools that enhance data processing.

More complex statistical derivation of today academic needs need to be incoporated into the software. E.g KNN statistical analysis etc. Also the frequency in server crash whiles performing some statistical processes should he address

Its ability to offer different types analysis, which caters for everyone's capabilities

It can be complex if you do not get enough training

ability to process huge amounts of data in short time. easy to use interface.

no option to search for a specific feature or operation that i want to apply.

It is user friendly even for who is starting to learn statistics

That you have to repeat all analysis by hand, you cannot change what you did.

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...

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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.

The massiveness and extent of value it can unravel from data in processes that are "easy", intuitive, and "make sense". LOVE using product for complexly designed survey analyses - they are lots of fun

I like least that not everybody uses the software and thus miss out on these collaborative discovery sessions that leave all participants with a firmer grasp on what data story telling REALLY is

Excellent software for entering questionnaires, coding variables and analyzing primary data. Easy to use and available in several languages (including English and French). Its interface is very attractive and designed.

The software is much more suited to the analysis of survey data and performs poorly in the specification of econometric models of panel data.

First of all the interface is amazing and you can easily switch from variable view to data view. This makes it easy to keep track of your work and progress and make sure the data you are entering is correct. It is incredibly easy to create a data base and insert your collected data. It is simple and user friendly. In the healthcare domain, we work with so many variables and have very large sample sizes most of the time, and being able to sort cases as well as variables makes this app a game changer compared to previous ones I have come across and used. With basic statistical knowledge it is possible for anyone to carry out statistical operations and as an epidemiologist this is perfect for me as I can analyze my data by myself and move on to interpreting the results.

I believe this software is heavy and it is always slow to start when opened, it takes quite a while and since it is one I use all the time, I have it installed on all my laptops and it always tends to be slow which can be tiresome especially when you are in a rush to carry out an operation to see the results and quickly interprete. Apart from that the software itself once opened is quick and prompt in its responses.

SPSS is a powerful statistical tool with built-in functions that let researchers run a wide range of complex statistical tests for our research project. SPSS is used by researchers because their results are easy to understand. SPSS displays data tables and other information quickly and easily for our research project. I along with my team members can use this software to access a wide range of statistical models with a lot of flexibility for our research project.

This program's graphs aren't as good as those in others. Due to its high cost, researchers in developing countries can't use SPSS. Sometimes, compatibility problems can make things harder for the us.

SPSS is one of the best statistical analysis tools that I have dealt with, and it gives you accurate results that you can trust. SPSS provides multiple options for importing data, where I can easily import the data I want to analyze from Excel. I like the simple method in which Regression is analyzed and how the independent and dependent variables are entered. I also like how we can simply copy the results tables and send them to MS Word and Excel to complete the reports we are working on.

It's hard to find unwanted things, it's easy to use and just needs a little practice of the operations you want to perform. The availability of educational materials about all the operations that SPSS performs enables users to gain a greater understanding of the analytics they are working on.

I found IBM SPSS Statistics to be an effective tool for analyzing data. It offers a wide range of statistical techniques and tools that allows me to delve deep into my data and uncover meaningful insights. One of the greatest advantages of this software is its user-friendly interface which makes it easy for me to access the tools and features, even as a new user of data analysis. Additionally, the visualization tools are exceptional, enabling me to create various charts and graphs that help me see patterns and trends in my data.

Now, there are a couple of downsides I least liked about it. First off, it's not exactly cheap. If you're a small organization or just a single user, you might have to fork over a decent chunk of cash to use it. And it's not the most beginner-friendly thing in the world, so you'll probably need to put in a little bit of time to learn how to use all the features. Plus, it's not open source, so that might be a deal breaker for some folks. And finally, it's not as good as R or Python for super advanced analysis.

SPSS Is the milestone of our data analysis pipeline. The software has been increasingly more user friendly release after release, the graphical interface is more intuitive, and the customization options have improved. SPSS syntax is easy to learn, implement, and teach to students in the lab.

Some advanced statistical functions require syntax that isn't available through the menu options. I find myself sending syntax to colleagues and students in order to accelerate collaborative analytical projects

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. Useful tutorials that help newcomers to the software! This is especially helpful if you have not used the software before. Versatility, this software can open almost any type of data file and output a myriad of files, for example you can open excel, spss files and output graphs as jpeg or png file formats.

Menus are very clunky and not visually appealing. Some advanced metrics for analysis are not easily accessible, these include SVM, decision trees etc. Extremely expensive! I am not sure how much a full liscence cost but it is worth the cost!

Easy-to-use interface, comprehensive feature set, works with a wide variety of data sources, multiple purchase options for individualized needs

Often slows down when dealing with large datasets, has a tendency to freeze for long periods of time when importing data, not all statistical tests offered by the software are well-documented or well-designed

After a quick cleanup of data with other software, SPSS can import data from multiple file types, and create any variables we desire. It's easy to make quick analysis, deep correlations, rescale variables, create regressions, everything you need to analyze data a create impact research.

A little information about the software is needed. It's very intuitive, but because it offers many tools (correlation, regression, ...), if you just need a quick analysis (median, mode, and average kind of things) it's not the simplest software. But for those who really need data analysis, it simplifies and accelerates analysis.

Anyone who deals with statistics and data analysis cannot get around SPSS. Even newcomers can quickly get to grips with SPSS after a short familiarization period thanks to the graphical and guided interface. Data sets are quickly read in. The scope of SPSS really leaves hardly anything to be desired. A program for "home use", but also for professional and complex data analysis.

Unfortunately, SPSS can only be purchased through a monthly or annual payment plan. A single user license is unfortunately not available. For a non-profit organization or student needs it is very expensive. If the university does not have a license, one will have to resort to cheaper, opensource alternatives (like R).

I have been using SPSS since 1981 and it is still my go to statistical software as I have progresses from a graduate student to a full professor. Ease of use. Verified and reliable calculations. The SPSS paste function allows users to work in a GUI environment but also permits users to write syntax that can then be reused and modified providing a record of data transformations and statistical procedures.

The wide range of packages and difficulty in telling what procedures are available in specific packages. Merging files has become unduly complicated.

It is very good at organizational skills. Never mind the lack of added features, when it come to . just extrapolating or interpolating data or just finding a good system to put into, I usually like this one. The functions are very easy to understand and the storage is very nice!

This is nothing compared to Excel. You can't use funtions at the simple tying of an equals sign and there are no extra platform calculations you can do to visualize and analize your data. Pretty much garbage at his point for data analysis. Plus you have to go on a hunt to find the feature you are looking for. Doesn't come at your disposal.

This software is fast, reliable, and flexible. I used it for my Master's thesis and I actually wound up using it for my first HR job at a drug company. I built surveys for them for patient satisfaction and, eventually, employee satisfaction. Using this software I was able to keep our data safe, gather stats over time, and control for certain variables that might have affected our results had I used something more trivial like Excel. Definitely recommend this!

The only con I can think of is the price. It can get pricey, especially if you cannot purchase a student copy. My license has expired and I have not yet renewed simply because my thesis is finished and my current employer does not have a desire to see employee stats -- not for that price, anyway! Hopefully I will be able to convince the execs that this is a necessary tool. Perhaps a more extensive trial period (or maybe a discount for the first 3-6 months?) would be helpful. That would allow for plenty of time to gather data and run stats so that my executive team might be able to see the benefits.

SPSS is a versatile data analysis tool with a wide range of statistical analysis tools. One can carry out simple descriptive analysis as well as pre-process/clean, visualise and model data using GUI as well as code. The interface of SPSS makes it easier to learn as compared to SAS. Data management capabilities of SPSS are a big plus.

SPSS does not have any major drawbacks other than its price tag. R as a competitor is free and open source. I also found SPSS coding to be less intuitive and graphs/plots rendered to be less 'attractive' than some other analysis packages available.

IBM SPSS Statistics permette di lavorare con dati complessi e produrre analisi statistiche utilizzando tecniche avanzate. L’interfaccia grafica è pulita e permette un uso piacevole del software. Le analisi sono eseguite con il linguaggio di programmazione di SPSS, Syntax, che risulta flessibile ed adatto anche a automatizzare processe ripetitivi. IBM SPSS Statistics ha una buona capacità di gestire una considerevole mole di dati, e risulta molto preciso nella rendicontazione delle analisi eseguite, i cui output sono personalizzabili mediante apposite opzioni inserite nel codice. La statistiche utilizzabile nel software sono varie, dalle semplici medie ponderate e operazione di data manipulation fino ad arrivare alle complesse regressioni logistiche multinomiali.

IBM SPSS Statistics, nell’esecuzioni di analisi statistiche pecca dell’assenza di un modulo datato agli algoritmi moderni di IA; i quali potrebbero dare un boots alle analisi eseguite e permettere una compressioni più profonda dei dati. Inoltre, il software, non risulta brillante nell’esecuzione di report.

Nella mia esperienza con IBM Spss Satistics ho apprezzato la sua capacità di gestire un gran numero di dati, proventi da fonti diverse con formati diversi. Elemento fondamentale quando si eseguono analisi su ricerche di mercato, che prevedono migliori di riposte, spesso fornite dalle filiali dell’azienda alla casa madre nei formati e nelle forme più disparate. Apprezzabile, inoltre, il set di analisi...

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Uno dei punti di debolezza di IBM Spss Statistics, secondo me, è il linguaggio utilizzato nelle programmazione. È poco user friendly e si discosta completamente da qualsiasi altro linguaggio con cui mi sono trovate a lavorare nel corso della mia carriera da consulente. Parte del tempo del progetto che ho eseguito utilizzando IBM Spss Statistic, infatti, è stato usato per comprendere il linguaggio. Se fosse possibile integrare R o Python nel software il tutto sarebbe molto più semplice da usare.