IBM SPSS Statistics Erfahrungen

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

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.

Can provide accurate analysis without coding.
There are range of analysis options to choose from.
Light weight.
You can integrate python programming language with IBM SPSS.

The User Interface is not modern.
Mostly for academic research and analysis.
Cannot embed charts.
Charts are not interractive but static images.

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.

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.

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!

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.