Opiniones de IBM SPSS Statistics

Me gustó por que es sencillo en el uso y muestra buenos resultados

Posee buenas herramientas, aunque siempre es bueno ir mejorandolos.

Su facilida para el manejo e itnerpetaciónd e grandes cantidades de datos. La elaboración de gráficos y contenidos para muestra de resultados con confiabilidad científica.

La demora en procesamiento que consume y requiere gran cantidad de recursos del sistema,exigiendo que el equipo en el que se lo usa deba tener caracterisitcas de alta calidad para el procesamiento de datos.

Las caracterísitcas de los resultados obtenidos luego del análisis de los datos es de gran confiabilidad y calidad para la presentación en investigaciones.

Presenta dificultad al usarse por primera vez, reconociendo los diferentes herramientas y espacios del software.

Las funciones de programación para limpieza de datos y conversión de software con muy precisas y me brindan la seguridad que requiero, además al crear una nueva base de datos es mas rápido y eficiente.

fue un poco complejo el desarrollo de la programacion de base de datos.

lo he utilizado para hacer análisis estadísticos de datos, incluye formas de analizar y cruzar la información muy completas y creo que es casi único en su tipo y el más profesional

he utilizado la versión gratuita, hace un tiempo, y me ha servido, aunque me costó utilizarla y entender la lógica del programa

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.

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.

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.

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.

What I like most is; it comes with Python IDE

I can't perform most operational research analysis with it

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.

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.

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

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

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

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

I use for my psychology bacholer program. I use especially the compare tools.

The tools are not expland very good and cannot find easily.

SPSS is quite easy to use. Commands are clear and outputs are easy to read and interpret. Overall, it is a nice tool for social scientists.

SPSP can’t run all analyses needed for social sciences, without using plugins (e.g., mediation and moderation with bootstrap)

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.

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

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

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).

IBM SPSS is very helpful in doing data analysis using statistical techniques like - Regression, Correlation, ANNOVA and other similar tests. It saves time and lot of effortsFor Research Scholars, this tool is very effective and useful

A trial version of 30-50 days should be there so that people can have some hands on experience on this tool

This soft ware is easy to use and freely accessible.

there is no difficulty to use IBM SPSS soft ware.

Very easy to use and teach on for both undergraduate and graduate students. Also relatively easy for students to set up on laptops to run code when not in computer lab. Finally faculty are also able to use and familiarize themselves, allowing the entire campus access

Compared to competitors it is slightly more expensive however IBM is a trusted brand and very worth every penny when teaching to students

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.

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.