IBM SPSS Statistics Erfahrungen

Easy to use Statistical analysis software

Kommentare: Overall, using SPSS with other statistical software like SAS JMP and Excel provides great value. The software is great but surely there is room for improvement

Vorteile:

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.

Nachteile:

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 for Strong Stellar Statistical Analyses that tell Stories

Kommentare: Elated with product. Began simply using it for market research and surveys but now will run through it given its ease of use with all sorts of analyses and data.

Vorteile:

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

Nachteile:

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

Researcher's opinion about SPSS

Kommentare: Since my training, I have used other software packages (JASP, R, Stata), and although I would mostly pick those over SPSS, I would still heartily recommend this software package to others. Especially to people who are less experienced with statistical reporting.

Vorteile:

I learnt statistics using SPSS, and for that it will always be a product that has personal significance for me. It is very user friendly and the UI and ribbon, although dated, allows inexperienced users to quickly understand and navigate its functionality. For simple statistical operations, SPSS is great.

Nachteile:

For statisticians who are more experienced, SPSS will likely feel sluggish. It does not have the kind of customisation that other packages or programming languages have, e.g. R, and it can feel slow.

Best Statistical package for data analysis

Vorteile:

It is easier for data analysis in Statistics

Nachteile:

It may not be used to perform all things in Data science

The most effective statistical software for research projects

Kommentare: I start utilizing SPSS for my university research project in my senior year.Since then, I've used this software for a variety of tasks and investigations. highly recommended

Vorteile:

Plenty of output options are available with IBM SPSS, including tables, charts, and graphs. The application makes it simpler to evaluate and demonstrate outcomes of research.Allows users to use SPSS with other statistical tools by being able to import and export data in various formats. It makes  easier to integrate with multiple research workflows.Offers automation tools such as batch processing and syntax automation that can speed up repetitive tasks . It helps researches to focus more on data interpretation and analysisThere are numerous methods for dealing with missing data, such as mean substitution, multiple imputation, and maximum likelihood estimation. These tools enable researchers to successfully address the problem of missing data, resulting in reliable and accurate analysis.

Nachteile:

In terms of computer memory and processing power, SPSS can be demanding, especially when working with huge datasets or carrying out complex analysis. Users with older or less powerful computers may face difficulties as a result, which could affect how well the software performs.Updates to software could cause for unexpected issues or need for modifications to current workflows, potentially compromising ongoing research projects.

A Comprehensive Review of IBM SPSS Logistic Regression

Kommentare: BM SPSS Logistic Regression is a powerful software tool for data analysis and modeling, offering a range of benefits to users. While it may have some limitations, its user-friendly interface, modeling options, diagnostic tools, and reporting options make it a popular choice for researchers and analysts who are interested in exploring and modeling binary and ordinal logistic regression. However, it's essential to consider its limitations, including its cost, limited customization, steep learning curve, and lack of flexibility, when deciding whether it is the right tool for a particular research project

Vorteile:

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 the model that best fits their research question and data.3. Effective Handling of Missing Data: IBM SPSS Logistic Regression offers various methods to deal with missing data, including multiple imputation and maximum likelihood estimation. This ensures that researchers can handle missing data effectively, which is particularly important when dealing with complex datasets.4. Diagnostic Tools: The software provides various diagnostic tools to assess model fit, including the Hosmer-Lemeshow goodness-of-fit test and the classification table. These tools help researchers to evaluate the quality of their models and make necessary adjustments.5. Output and Reporting Options: IBM SPSS Logistic Regression produces tables and charts that summarize the results of the logistic regression models. This makes it easy for researchers to interpret and communicate their findings effectively.

Nachteile:

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-A True Companion For Your Data Analysis

Vorteile:

It is a great tool to analyze all types of datasets (large or small) without any problems. It provides comprehensive information about your data and extracts valuable information for your research.

Nachteile:

Graphics and the user interface should be improved. The price is a bit higher as compared with other tools.

IBM SPSS: Data Analysis and Management for Graduate Research

Kommentare: IBM SPSS is the leading data analysis software. It was really a major support in our graduate research in the fields of big data algorithms and cloud computing.

Vorteile:

I have used SPSS to carry data analysis and reporting for my security and cloud computing research to support the different statistical analysis and management for my simulations. I like the variable support in SPSS that gives a better data view of the samples in one Spreadsheet. The variable creation process is highly automated that makes the deployment of the statistical model much more facilitated. Moreover, the variable configuration process is very intuitive and resembles basic relational entities in RDBMSes. By the way, I integrated SPSS with prominent RDBMSes such as Oracle and MySQL.

Nachteile:

The main limitation that occurred is the performance degradation when loading large data sets. Though, this wasn't easily replicated, we believe that the size of the data set could be the main factor resulting in the lags we experienced. The SPSS learning curve is steep and it requires a lot of training to make the user acquainted to use it effectively.

Good software for statistical analysis

Vorteile:

There is a learning curve, but it's not that difficult to find your way around the software. Good for students and employees alike.

Nachteile:

Limited functionality compared to a lot of other statistical software

A Must For Psychologists

Vorteile:

I like how easy I can collect my experiment datas and show a quick results of it.

Nachteile:

It is such a complicated application I think it need more information about the skills that the app contains.

It is an effective tool for analysts and researchers to perform their research.

Kommentare: It provides fantastic choices for the graphical display. I am happy to use this software for our social research purpose.

Vorteile:

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 languages as their primary feature. Even while learning a programming language takes time, there are some significant benefits. Additionally, the complexity frequently deters me from trying with fresh and out-of-the-box strategies. Before starting our information inquiry, I need to see how our information behaves. The use of graphics to do this is preferred. Using the scatterplots, boxplots, and histograms in IBM SPSS, I can see examples in our data.

Nachteile:

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.

IBM SPSS TOOL : A great statistical tool for all statisticians and scholars to have

Kommentare: Quite satisfactory

Vorteile:

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

Nachteile:

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

IBM SPSS Statistics Review

Vorteile:

IBM SPSS Statistics is very user-friendly, and we can upload files easily. We can perform highly complex data analysis with accuracy

Nachteile:

It is very expensive, and the setup file is huge and complicated to install. It will make the computer work slow.

IBM SPSS Statistics Review

Vorteile:

It is very user-friendly, and Analysis results will e more accurate we have many tests available we can use that according to the analysis

Nachteile:

It is a bit costly, setting up is hard, and it needs to be more self-explanatory. it will make the system to work slow

Powerful Data Analysis Tool

Kommentare: Overall, IBM SPSS Statistics is a solid choice for data analysis, but it's not perfect. You'll need to weigh the pros and cons and decide if it's the right fit for you.

Vorteile:

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.

Nachteile:

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.

IBM SPSS statistics

Vorteile:

It very very good software for the beginners in data science. It is used for market research layae and we can test and save them. There are many options of tests such as regression and ANOVA ect

Nachteile:

UI/UX would have been better and file size very large it takes more time to install and configure and it make computer work slow

Powerful statistical analysis software

Kommentare: All in all IBM SPSS Statistics is a super solid and reliable solution for your statistical analysis needs and is still my number one choice.

Vorteile:

I am working with IBM SPSS since over 10 years now and never had any serious problem / bug, so it is a super realiable & solid statistical analysis software. It offers a wide range of statistical analysis methods and guides you well through the whole analysis process.

Nachteile:

Some areas/modules of the software are not that easy to understand or as user-friendly as they could be. This I realized, when I introduced the software to a new collegue.

SPSS, The efficient statistical software for analysis

Kommentare: With this app, I am able to analyze data and produce actionable results easily and as quickly as possible. Doing research is easy and quick when you have SPSS installed

Vorteile:

SPSS makes it easier to analyze data and report them to audience with diverse backgrounds. Anyone can use SPSS, even without formal training, because it is not so complex to use. Even if you don't have experience in programming, you will be able to use it. It makes you do analysis in smallest possible time, thus if if you really understand the data you are using. And also know the right commands and inputs.

Nachteile:

In spite of the positive things said about SPSS, It can be a bit costly to use this app as a Researcher. You can really do a lot with this app, however, this can only happen if you really have some understanding of your data and really know what you are doing when running regressions.

My Best data analysis Software

Kommentare: I have 5 years of experience in using IBM SPSS for data entry and data analysis.
The variable view makes it easy to create a template for data entry. The templates accept both labels and values for categorical variables. The built-in statistical features in IBM SPSS make it easy to do data analysis and save data analyst time.

Vorteile:

IMB SPSS is user friendly Most of the statistical tests are available as built-in features.

Nachteile:

The graphical outputs in SPSS are not appealing to the eye and are not easy. So, I normally use EXCEL as a substitute.

IBM SPSS Review

Kommentare: It was fantastic! I successfully finished and defended my quantitative research because of this software. I was as well one of the top performing researcher on my year.

Vorteile:

It is useful tool to make sense of a big set of data. It organizes and helps me interpret my previous studies I have conducted.

Nachteile:

It may be a bit hard learning how to efficiently utilize it at first but once you start to get the hang of it you will want to continue using it for your data.

Complete software

Vorteile:

It’s a very complete software, which can be adapted to any need of your business. Perfect for complex organisations and reporting.

Nachteile:

If you need a lot of features it can become a very expensive tool.

IBM SPSS as a tool for a researcher

Vorteile:

It is very specialized tool for its purpose. There are cheaper solutions but replacing IBM SPSS with something else highly increases the effort required to perform the same task or requires some level of programmer skills. For example, custom tables (one of extension modules for SPSS) provided the easiest to use and also the most effective tool to build your own tables I have ever seen. On the other hand, the syntax window (or the syntax console) provides you so many ways to reduce time required for your tasks (it is just a matter of your skills in writing commands/syntax).

Nachteile:

In my humble opinion data visualization is a main drawback of SPSS. MS Excel, which is a popular and cheap, still offer a way better solutions for making graphs, charts and decorated tables (which is not only a matter of aesthetic, but it also enables to highlight some data, trend etc.). I suppose that at some level of mastering SPSS features it may provide some essential advantages over MS Excel, but for for a user with low or medium experience editing graphs, charts or table via IBM SPSS might be really challenging.

SPSS is the BEST!

Vorteile:

SPSS contains robust data analysis tools that are easy to use and understand. It takes the guess work out of writing complicated code by employing a user-friendly graphic user interface. Reports are clear and concise, and have the ability to be copy/pasted into a variety of word processing and presentation software. Because of its versatility, many of the mainstream survey and data collection software companies can easily export results into SPSS, unlike other analysis software.

Nachteile:

The cost of SPSS is concerning. There are often student and research faculty versions that can cost less, if you are willing to purchase a short-term license. The cost is worth it, for sure, but it is still costly. I'm also not a fan of the graphs and charts. As stated earlier in this review, they definitely get the job done; however, they are not "wowy" enough for many board meetings. I often have to put the data in another graphical representation to satisfy stakeholders.

Being in the field of Social Sciences is almost a requirement to get a complet analysis.

Kommentare: With SPSS it is possible to collect data, create statistics, analyze management decisions and much more. Gives the opportunity of doing complex analysis and take on prediction models.
The capacity of solving problems of applied statistics by brute force or by trying thousands of combinations to finally stay with what is believed to be the best for use.

Vorteile:

The importance of capture and analyze data to create tables and graphs with complex data. Its ability to manage large volumes of data and carrying out text analysis amog other formats. Being able to use the statistical software, with descriptive statistics such as tabulation and crossover frequencies, and correlation tests. The program allows you to take your data and easily create a wide variety of visual effects such as radial boxplots and density graphs.

Nachteile:

In more complex programs you need to have programming knowledge, as well as to make the most laborious calculations. In statistics, often contradictory results can be obtained between different tests. It does not provide the expected results in the expected time. It sometimes leads to unnecessary sophistication by allowing the use of complex techniques to answer simple questions. If the user does not have previous experience using SPSS or if their statistical knowledge is not up to date, it is difficult to understand which options to select. The results reports contain an excessive level of information.

The importance of spss in scientific research

Vorteile:

It facilitates the process of emptying the field study on the program interface for the researcherDraw tables automaticallyCalculation speedVariety of statistical tests

Nachteile:

There are no negatives in a program because the negatives are related to the user if he has complete knowledge about the program