IBM SPSS Statistics Erfahrungen

Timeless IBM

Kommentare: IBM's predictive analytics and data SPSS statistics are among the most advanced statistical tools available on the market. With its powerful algorithms and intuitive user interface, it allows businesses to make informed decisions based on predictive analysis, trend forecasting and statistical modeling. IBM's software offers a comprehensive approach to data analysis that includes descriptive, predictive and prescriptive analytics, which can help businesses streamline their operations, reduce costs and gain insights into customer behavior. Overall, IBM's predictive analytics and data SPSS statistics is a powerful platform that can help businesses gain a deeper understanding of their data and make better decisions based on fact-driven insights.

Vorteile:

IBM's Predictive Analytics and Data SPAS Statistics Pro are powerful tools for businesses to harness the power of data and make informed decisions. With predictive analytics, companies can analyze historical data to identify trends and generate forecasts, allowing them to anticipate future market conditions and make appropriate strategic adjustments. Meanwhile, SPAS Statistics Pro provides powerful tools for data analysis, allowing users to rapidly uncover insights and generate actionable recommendations. By leveraging these solutions, businesses can gain a significant competitive advantage, enhancing their ability to make data-driven decisions and achieve their strategic objectives.

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IBM’s predictive analytics and data SPSS statistics flaw has recently come to light as concerns have been raised about the tool's ability to produce inaccurate results. This has caused businesses and organizations to doubt the usefulness of the technology, as it may lead to incorrect decisions being made based on the data produced by the software. IBM is working to address the issue and improve the accuracy of its predictive analytics and data SPSS statistics, but in the meantime, it is important for users to be aware of this potential flaw and approach their data analysis with caution.

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.

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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

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.

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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.

IBM SPSS for fast analysis

Kommentare: IBM is good for academic research and analysis.

Vorteile:

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.

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

Spss statistics software

Kommentare: The first contact with the software as at the level of the University. Collecting data 'to draft the report, I've been introduced to a person handling SPSS stat. I there for took contact with the software to do some minimum Data introduction, Data cleaning end grafting some results.

Vorteile:

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

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The ease of use: to handle the software we should follow a minimum hours of training cession

IBM spss

Kommentare: It has been good so far

Vorteile:

What I like most is; it comes with Python IDE

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I can't perform most operational research analysis with it

Gets You Results with a Reasonable Learning Curve

Kommentare: I used this software for Market Research related applications and this helped me quickly complete the tests and save them as per how I wanted it.
In the projects I used it for, it gave out some interesting results and takeaways which helped in business planning.

Vorteile:

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

Nachteile:

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

Good program to educate.

Kommentare: It is a very powerful software, which is very good to use it in educational centers for students. It has a good price, so it is a good option for independent statistical studies.

Vorteile:

It has a simple and uncomplicated platform when learning to use it. It handles terms that were handled at my university and data can be exported from Excel.

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Visually it leaves a lot to be desired, as in its graphics and its graphics edits are very slow. It should be more compatible with Micrsoft programs.

A great tool for statistical analysis of large datasets

Vorteile:

After learning the basics of the software it becomes intuitive to use, if you use their guide you can make it through the steps to perform any basic task. It had multiple functions that were very useful for most sorts of statistical analysis that are required in quantitative research.

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There should be a quicker way to change the types of variables of multiple variables in use, and the graphs should be easier to customize.

Very useful for statistical analyses

Kommentare: I was trying to run a set of statistical analyses on climatic variables that include temperature and precipitation on a monthly time scale

Vorteile:

I have used quite a few statistical softwares that include SPSS, SAS, R. SPSS was very useful for the climate data that I was working with. I felt it was easier than SAS as SAS involved a lot of coding

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It did take some time to get accustomed with SPSS but that would be true for most softwares out there

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.

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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.

Criminologist's best friend

Kommentare: The SPSS has been part of my training as a professional, and later I have used it very often in the development of my theses to obtain higher academic degrees. In my profession, it is very useful to process statistical information that helps to make appropriate decisions regarding public policy. So he's my best friend as a criminologist.

Vorteile:

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.

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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.

Review of SPSS

Kommentare: When I first used the program, it was very difficult and almost impossible to learn. However, as I spent time in it, I began to understand and comprehend. Ultimately, the program allows for a great experience if well learned. I think it is necessary to learn this program in order to be a good researcher.

Vorteile:

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.

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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 industry leader for ages (...and it shows)

Kommentare: Once I learned how to use SPSS to do what I needed it to do, it became an invaluable tool and a critical part of my workflow--indeed, trying to learn other statistical software packages after figuring out SPSS felt a bit like trying to "unlearn" how to ride a bike. It does have its quirks and flaws, mainly surrounding its UI, but these are literally cosmetic.

Vorteile:

The range of statistical tests and techniques available from the get-go in SPSS is unmatched, and there are additional modules that can be added to expand the software's abilities. It becomes relatively intuitive the more you use it, and its export options for the results it calculates are quite robust.

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SPSS is quite intimidating if you've never used it before, and without guidance, it may feel almost impossible to get started with it. Perhaps its biggest problem is its ongoing legacy support for previous versions--in other words, IBM periodically seems to slap a new front end on the software, but with just a click or two, you immediately encounter dialog boxes and windows that look like they belong on a machine running Windows XP (...or earlier!). The overreliance on pop-up windows makes the interface even more dated and clunky. Honestly, IBM should completely gut the software and start over from scratch, but presumably that's too big of a task, which leaves us with this black box that has been coated with dozens of layers of proverbial paint.

It is user friendly, professional and perfect for those people who need to analyze quantitative data

Kommentare: Working with this software in one of the most important section of my job.

Vorteile:

As a market researcher I should work with SPSS daily. It is a software for analyzing quantitative data.it is easy to import data from other software like Microsoft Excel and analyze them. Also some online survey platforms have SPSS output and you can import data from them to SPSS directly. If you just want to have some descriptive statistics, it is easy to learn, but if you want to analyze data with parametric and non-parametric exams, it is a bit difficult so it is better to take a class about 1 week and learn SPSS fast. Then you will enjoy analyzing data.

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For drawing charts from data, SPSS is not suitable because it doesn't have a beautiful data visualization. Visualization tools for drawing charts in SPSS are few; so every time that I want to draw a chart, I should copy the table of analyzed data on SPSS to Excel and draw the chart.

My experience with SPSS has been nothing short of amazing. I rely on it daily, and am never let down

Vorteile:

SPSS is incredibly user-friendly, which is obviously important when it comes to statistical analyses. More specifically, rather than having to learn a certain coding language in order to run analyses, one can just navigate through the menus while also collecting the syntax from these operations in order to replicate in the future. Compared to other statistical analysis softwares, SPSS is as familiar as can be, and is as approachable as possible. It is easy to teach to others, and it also makes professional and publishable graphs.

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Though a tiny quip, SPSS has a few limitations when it comes to making graphs - for example, if one were to make a stacked bar graph of their data, they are unable to add error bars to it, which, as any researchers knows is incredibly important. Other than that, I cannot say that I have any major dislikes about SPSS.

Industry standard for psychological research

Kommentare: Definitely the standard statistical package in my field (psychology research), and for good reason. SPSS is a data workhorse.

Vorteile:

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.

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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.

SPPS has a very user-friendly interface, quite accessible and easy to understand.

Kommentare: In carrying out analysis this software made my work quite faster than usual, its such an efficient software.

Vorteile:

The user friendly nature, automatic analysis and results features

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Changing fonts during transfer of data, which is not much of a problem though.

Data analysis with SPSS

Kommentare: Its good for all type of data anaylsis, Economic,financial and descryptive and qunatitative. some graphics required to enhanced

Vorteile:

we can regress multi variate cross sectional data.there is less chances of multicollearnity occurance due to auto deduction. F and ANOVA table always shows 100% accurate results.

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Sometimes its become slow while using huge data set. its visual and graphics are not much advance and cannot be exportable.

Handle that big data that's challenging you with IBM SPSS Statistics like a professional

Kommentare: The fact that I can handle any statistical problems without any challenge and I can handle a large data makes the tool the best for me

Vorteile:

Data quality and information is key to wellbeing of any organisation. You will need to collect data and analyse it to know how you are performing outside world. IBM SPSS gives you a platform to analyse the collected data, manage it, visualize the data. For any statistical challenge you got covered. It can handle large data within minutes. You can also handle any kind of data from nominal, ordinal, interval etc

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I wouldn't like to say that the tool is easy to use. If you don't have statistical knowledge be sure you will be stuck.

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.

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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.

Academic research help

Kommentare: A useful tool for complex calculations , Various calculations can be extracted from this application.

Vorteile:

At the University of Zimbabwe we have found a reliable solution in the SPSS application for the various researches that is carried out in different faculties. I used the app on my undergraduate research project and my MBA research which produced the best results . Free videos are available online on how to use SPSS and there you dont have to pay to be taught on how to use it

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It took me some time to carefully study and understand how to use the SPSS, and therefore it might took someone some time to understand the different function on the app

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.

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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.

The Most Advanced and Sophisticated Statistical Package

Kommentare: I started using SPSS back in 2008 to analyse data samples for my friend's first degree project. The version 15 back then that I used was not compatible with my windows vista operating system, but because of the hype and how the product was talked about, I had to find a way around to make that version work on my system. We used a hotfix by the way, so it worked. But I was able to get a good data analysis from a software product which I never thought was possible; something my professor only taught me how to do by hand.

Vorteile:

IBM SPSS is a very popular tool, for that there are loads of available tutorials (both free and paid) to get you started and also pull you out of a usage problem whenever you get stuck. So, its a very strong product with a useful array of learning tools online. I also love the cloud solution (SPSS app on fly) such that you can do your analysis while on the go.

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The software really requires a lot of time to learn and understand its features. It is also very resource consuming and it is somewhat expensive to purchase, even with the available student offer.

Open source options are better and free

Vorteile:

SPSS has been around for a very long time, so it's what a whole lot of researchers are most comfortable using, including usually myself, in spite of my criticism of it. It has most of the statistical tests that one needs for my area of research. Things usually work and the GUI interface is accessible to people. But there is also a script output, so one doesn't need to waste time pointing and clicking constantly. These are great features.

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SPSS has been slow to adopt Bayesian testing and I hear that aspect still needs a lot of work. The outputs for any tests are typically quite difficult to read. The visualizations are quite poor / unattractive and not particularly easy to customize. I never publish SPSS-made graphs. Every person I know will use another software program to make data visualizations. SPSS costs money, and there are other open source options out there that are just as good or better. R has been open source for quite some time and has better and more customizable visualizations. It doesn't have a GUI interface, which is a pro of SPSS. But then there are programs like JASP that have GUI interfaces AND Bayesian functions AND scripting and they're free. So it's hard to justify SPSS.