Opiniones de IBM SPSS Statistics

Análisis de datos para investigación con IBM SPSS Statistics

Puntos a favor:

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.

Puntos en contra:

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.

Análisis de datos con SPSS Statistics

Comentarios: Es un buen programa para el análisis de datos e información en los procesos de investigación y presentación de resultados.

Puntos a favor:

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

Puntos en contra:

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

el mejor de estadística

Comentarios: muy buena, he podido realizar el trabajo específico requerido, aunque no lo uso desde aquella vez

Puntos a favor:

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

Puntos en contra:

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

limpieza de datos

Puntos a favor:

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.

Puntos en contra:

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

Sps2

Comentarios: En mi experiencia yo lo usé para obtener funciones estadísticas de una base de datos y poder simplificar los resultados y visualizar los resultados

Puntos a favor:

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

Puntos en contra:

Posee buenas herramientas, aunque siempre es bueno ir mejorandolos.

Analyze the information of your work with this software specialized in statistics.

Comentarios: The use of IBM SPSS by our company has generated excellent results in the planning, management and dissemination of our management as a Health Center. It is thanks to the options of IBM SPSS, that I have been able to systematize, compare and analyze large databases of our patients, offering better solutions to their problems and establishing the statistical data necessary for the evaluation of our activities. Large companies that wish to project themselves and compete in the market, I recommend that they use this software and thus will be able to make the best management decisions according to the evaluation of the data inherent to their company.

Puntos a favor:

IBM SPSS, is a very sophisticated software that specializes in statistical analysis according to different data and variables such as graphical databases, probabilities, percentiles and so on. The most outstanding feature of this software is that it has many modules, which are the computer language of the software and allow a more exhaustive analysis of the information collected in your work. Among the most outstanding modules we have tables, categories of variables, joint analyses, maps, exact tests, data validation, analysis of lost values. It is a software that, with practice becomes the best tool for database analysis thanks to its file system, which facilitates the processing of information. Another advantage of this software is that it considerably reduces the analysis time of statistical variables, making the productivity of workers is optimal.

Puntos en contra:

In order to fully manage IBM SPSS, it is necessary to apply certain computer knowledge, which means that not everyone, including expert social scientists, can use this software in its entirety.

Best stats package with the ease of functionality and mechanism.

Comentarios: My overall experience with SPSS has been great and I strongly recommend it. It is very useful in market research and business analytics industry as most research projects deal with descriptive and multivariate statistical approach. I have been using SPSS for last ten years and it has provided very good functionality with each update and version. Overall I highly recommend this software package.

Puntos a favor:

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.

Puntos en contra:

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.

Absolutely horrible

Comentarios: Absolutely horrible. It runs like a behemoth and can't even merge files without sitting there after you click a button... just sits there. Doesn't tell you it's working, doesn't tell you how long it will take, doesn't give you any indication that it hasn't just frozen. And sometimes it does. I've let it sit for 30 minutes before waiting to merge a file with less than 10,000 variables. What a joke.

Puntos a favor:

It's supposed to help analyze data, but you don't get to that point... they screw up the basics.

Puntos en contra:

The programmers can't even get the basics right. Opening, saving, merging data seem to be like way too much for this to handle. Poorly programmed is giving them the benefit of the doubt. Completely runs like a third grader programmed it in his spare time between multiplication table flashcards.

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

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

Puntos a favor:

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.

Puntos en contra:

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.

The Best and The Rest

Comentarios: After being introduced to SPSS about 10 years ago I have never used any other similar product. I have even helped colleagues who use a different program with their analyses by saving their data to a USB, using SPSS in my office, and providing them with a hard copy of the results as well as the SPSS input/output data. Typically, they want to know how to get their hands on a copy of SPSS.

Puntos a favor:

SPSS is a phenomenal resource for data analysis be it for an advanced statistician or a student learning basic research methodology. The program is designed to run very simple analyses (mean, mode, median, SD, T-Tests) to complex theoretical modeling in order to identify and name IV's and DV's. SPSS provides reader-friendly and exhaustive help within the program, as well as live help if needed (which, in my experience is not very often). I love the options that I can add to the output such as graphs, charts, histograms, and what specific data means based on what I want analyzed. Much easier to use that other programs of a similar nature, which means I spend less time asking a colleague in the Math Department if I am using the most appropriate analysis based on the data collected. Also, I appreciate how easy it is to copy and paste tables and images into a text document.

Puntos en contra:

Until there is a technology that allows one to immediately "download" large and complex bodies of information into the brain, I have little criticism for SPSS. If I am in deep water and do not fully understand what the "Help" section is telling me, I simply step backward until I reach a level that I do understand and move forward from there. Kind of like teaching myself. It is unreasonable to blame a program for my own limitations.

SPSS Still best statistical application.

Comentarios: The greatest application I have worked on in statistics. Indeed nothing compared.

Puntos a favor:

It is very easy to use unlike other applications. It is very specialized in its category and you do not need much time to understand how it works.

Puntos en contra:

More ideas might be required to reflect dashboards as a result of the analysis. More diagrams maybe needs to be added to the application.

The history of statistics

Comentarios: This is the software that I use the most for my work and, even if at times I have to struggle a little to perform "new things", I always find a way. I managed to automate many many tasks and I have reached a very high level of productivity, meaning that I can click a button, let the computer run all nights, and the morning after I find all the jobs done.

Puntos a favor:

The ability to perform almost all easy and complex statistical analysys without writing code AND the possibility to automate simple and complex tasks by actually writing code. This software is huge and it supports a very large set of feautures.

Puntos en contra:

This software is a milestone for statisticians of all over the world. I've been using it for more than 30 years. This means that this software is aging more and more, and perhaps it needs a faster modernization cycle than the current.

SPSS is Value for Money

Comentarios: I have used it to analyze data collected from market research for the services I offer. I am able to then make informed decisions from the trends I observe through the analyses.

Puntos a favor:

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 my Data Analysis course as we were taught the software step-by-step. This software has since become a mainstay in my personal and professional life. I once used it to analyze upwards of 300 questionnaires and was blown away at how easily and quickly I was able to compare the data. There were 6 demographic questions and I was able to breakdown responses based on each classification. It offers a wealth of statistical capabilities at the touch of a button.

Puntos en contra:

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

Analyse your dissertation data with spss

Comentarios: Hard to use, but it gets the job done, and you get your results which are reliable and well tabulated.

Puntos a favor:

it helped me analyse my survey data when l was writing up my dissertation. its simpler that other statistical tools I could import and export data easily from excel to spss l managed to analyse descriptive data and do regressions using a YouTube tutorial. data analysis doesn't take forever, its quick it allowed me to edit, when doing school work one always makes errors, and with spss you can redo as many times as you need to. for basic data interpretetion and analysis spss is the good to go

Puntos en contra:

its difficult to use, alone you cant unless maybe you are a math and stats guru sadly it doesn't copy and paste tables and charts neatly to Microsoft word, l had to type again if l wanted the analyse data to be on my word documents and that is a lot of work.

The Only Statistical Tool You Need

Comentarios: SPSS has a learning curve in the beginning but after working out a few kinks, the program allows the user to do all their data needs.

Puntos a favor:

I used SPSS to conduct my masters research into federal employee retention of millennials. The program was able to handle data points from all 15 federal agencies over 10 years along with 20 plus other data factors. SPSS made it easy to organize the data and execute stat checks on the research.

Puntos en contra:

There were times where I had to consult an SPSS research guide in order to execute certain formulas. SPSS is a vast program but it can be a little daunting when you first start out.

A sports car product

Comentarios: I've used SPSS since it was only available on mainframe computers and so I am quite comfortable with the software. I can move data in and out of the system. I use SPSS for evaluation but always move to something else for visualization.

Puntos a favor:

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.

Puntos en contra:

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.

Criminologist's best friend

Comentarios: 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.

Puntos a favor:

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.

Puntos en contra:

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

Comentarios: 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.

Puntos a favor:

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.

Puntos en contra:

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)

Comentarios: 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.

Puntos a favor:

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.

Puntos en contra:

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

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

Puntos a favor:

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.

Puntos en contra:

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

Puntos a favor:

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.

Puntos en contra:

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

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

Puntos a favor:

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.

Puntos en contra:

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.

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

Puntos a favor:

The user friendly nature, automatic analysis and results features

Puntos en contra:

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

Data analysis with SPSS

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

Puntos a favor:

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.

Puntos en contra:

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

Comentarios: 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

Puntos a favor:

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

Puntos en contra:

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.