IBM SPSS Statistics Pricing

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.

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

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.

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.

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

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).

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.

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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.

1. User-Friendly Interface: One of the most significant advantages of IBM SPSS Logistic Regression is its user-friendly interface. Users can easily navigate and analyze their data without requiring advanced technical skills.2. Robust Modeling Options: The software offers various modeling options, including binary, multinomial, and ordinal logistic regression models. This allows researchers to choose...

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1. Cost: IBM SPSS Logistic Regression is a commercial software tool and can be expensive, especially for individual researchers or small organizations.2. Limited Customization: While the software provides various modeling options, it may not allow for the level of customization required for some research questions or datasets.3. Steep Learning Curve: Although the interface is user-friendly, there is still a learning curve involved in using IBM SPSS Logistic Regression effectively. This may require additional training or support.4. Lack of Flexibility: The software may not be as flexible as some open-source statistical software tools, which can limit its usefulness in certain research contexts.

IBM SPSS offers a wide variety of extremely flexible factual models, with the general direct model and a number of calculated relapse models standing out. They enable me to have a single piece of software that can essentially handle all of our information-research requirements. A substantial chunk of the competing factual programming products, including as R, SAS, and Stata, rely heavily on programming...

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The cost of obtaining SPSS may be prohibitive for some users. In order to properly exploit the abundance of available elements, further planning is typically required. The highlights of the chart are not quite as simple as those of Microsoft Excel. Information on impact size and certainty spans is lacking for some approaches.

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.

I Return to mostly because of its data cleaning capability and the ability to save chart templates and reuse. It is flexible for basic statistical analysis though requires an good statistical background to perform sophisticated statistical analysis with it.

The fact that the software has no algorithms that can help you decide on the right statistical test seems problematic to novices in statistical data analysis. You must know the exact test to perform, the software cannot help you decide

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.

The SPSS is part of the training of any criminologist interested in studying the criminal phenomenon. It is a complete program that allows any statistical analysis to help generate tables, graphs, and perform statistical tests that allow variables to be associated. It is very easy to use and has a very nice interface. Each new version incorporates interesting elements that allow the analysis to be extended, even with qualitative data. I use it very often in research and to present information of statistical relevance. It is the best statistical package for the social sciences. Of course it is used by many scientific disciplines such as sociology and psychology.

It may seem expensive at first, but the benefits are numerous, and it is worth investing in it. Of the rest I have nothing negative to say.

As a student of the social sciences, I was expected to conduct research and calculate appropriate statistics in order to draw accurate conclusions. I became overwhelmed by the complex nature of these calculations. I was relieved to discover that, in the real world, I was not expected to calculate t-tests, ANOVA, chi-square (and countless others) manually. I remember having several aha moments during...

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It is intimidating at first. It is also rather expensive.

It is an excellent software for handling large volumes of data, because it allows in a simple way without great technical knowledge to perform from simple statistical calculations, descriptive statistics, data validation to inferential or predictive statistics. It is designed in a simple and user-friendly way since it is not necessary to use complex knowledge to encode data when using qualitative data. In relation to the predictive information that allows to generate is of great support for decision making, especially through the statistical models generated by the data under study, thus allowing the obtaining of models whose level of confidence can reach up to 95% . In a few words, an ideal software for research, mainly in the social area.

Due to the large number of possibilities it offers for the treatment and analysis of data, it can be quite overwhelming in principle, especially if the differences between each of the analysis possibilities it provides are not clear. This also means that it is necessary to dedicate a considerable time to explore each one of the possibilities that it offers and to see the tutorials offered for the use of the software. Another disadvantage is the quality of the generated graphics, if we compare them with other similar software for the handling and analysis of data that exist in the market, since if we want to have better quality graphics, mainly if we need to make presentations in general we must go to other software.

SPSS allows me to work in point and click and also in syntax to run analyses to solve our research questions. I typically run linear regressions, ANOVAs, ANCOVAs, and descriptives/frequencies in SPSS. My favorite part of this software is how easy it is to use in comparison to its competitors.

I really dislike the price of a license. My company covers the cost of the license so I do not have to worry about it, but I would be hesitant to use SPSS if I had to purchase a license on my own dime.

SPSS is powerful yet straightforward to use. It covers a wide array of statistical analyses and data transformations - functions like automatic recoding of variables or restructuring of datasets can be great time savers. The SPSS syntax is also fairly intuitive, with a low barrier to entry for anyone with basic coding experience. The fact that syntax is automatically generated when using the point-and-click interface is extremely helpful for getting started with creating your own scripts, making future analyses even more efficient.

The graphing function is serviceable, but not pretty. Tweaking graphs to look decent can be time-consuming and frustrating, and some options are simply not available (for example, showing all data points overlaid on a bar graph of means). There are also some statistical tests not available via the point-and-click interface; you have to know the proper syntax to run them. Lastly, there is of course the price tag - I am able to get access through my university, but I'm not sure it would be worth the cost if I were paying out of pocket.

I prefer IBM SPSS to any other software product because with IBM SPSS I have all the statistical data analysis techniques integrated into one component. The IBM SPSS is capable of manipulating almost all statistical problems including the recent advance statistics. This is the most accurate statistical analysis tool that provides accurate information such as correlation analysis to individuals or larger organizations for managerial purposes or future planning.

This software product requires some level of experience and is somehow laborious to use at first. The overall implementation and maintenance cost is a bit costly, but once it fits in it proves to be advantageous.

I've worked with several statistical analysis packages during my time as a health researcher. By far, the one I'm most fond of is SPSS. Its user interface in its latest versions is truly a thing of beauty. Instead of having to learn a new programming language, I can easily work through drop-down menus to perform all the analyses I need. The program is compatible with .csv and .xls files, meaning I can easily dump data into the program, and even edit/clean it within SPSS (though I'd recommend putting clean data in, instead of relying on SPSS to do it - the program can be a little clunky in this department.) For quick and simple data analysis, I recommend SPSS to anyone.

Some other data analysis packages are free, whereas SPSS comes at a price. It's not anywhere near as steep as some other, similar statistical software, but it is not free. Furthermore, simplicity and user-friendliness comes as a trade-off with functionality. Some of the more nuanced analyses that could be performed in other programs, using more sophisticated programming language, cannot be (or cannot easily be) performed in SPSS.