Opiniones de IBM SPSS Statistics

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.

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

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.

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

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.

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.

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

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.

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

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.

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.

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.

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.

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.

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.

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

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

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.

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.

The software has almost all the tools the analyst or database manager needs to have. The newer versions also support Armenian characters, which is a huge improvement of the database quality, there is no need any more to transcribe tons of questions and responses.
Also, there are tons of tutorials with detailed explanation, also thick books for folks who prefer the old school method. When writing this review, I couldn't assess the support center, and I caught myself thinking that there are plenty of SPSS users out there and once googled some question, eventually many reviews pop up. That is why I have never contacted the support for help.

When working with large databases, specifically if there are multiple textual columns (non-numeric), the work of the program as well as the computer is obviously slowing down.
Another point is that the missing values should be max 3 or a range plus one value. When creating the variable and defining missing values, one should pay attention and set the values so they won't need to do the re-coding.

In fact, unlike many other statistical programs, I consider that SPSS is the simplest and least complex statistical program, and it will require you only a short time to become familiar with it and master its use.
SPSS program is excellent in descriptive statistics, analysis of variance, and also basic regression analysis, which are very necessary aspects for researchers
The use of this statistical program is not limited to researchers in universities only but can be relied upon in business organizations to prepare reliable and reliable business reports and improve the decision-making process

On the other hand, the SBS program may not be able to deal with very large data, and from my experience, I can also say that the statistical methods used in the field of social sciences (and this is clear from its name), it is very likely that the results and outputs of the SBS program It will change if the user changes the order of the inputs, and therefore the user will have to experiment several times in a different order and compare the results, especially in the aspect of logistic analysis and generalized linear models

First of all the interface is amazing and you can easily switch from variable view to data view. This makes it easy to keep track of your work and progress and make sure the data you are entering is correct. It is incredibly easy to create a data base and insert your collected data. It is simple and user friendly. In the healthcare domain, we work with so many variables and have very large sample sizes most of the time, and being able to sort cases as well as variables makes this app a game changer compared to previous ones I have come across and used. With basic statistical knowledge it is possible for anyone to carry out statistical operations and as an epidemiologist this is perfect for me as I can analyze my data by myself and move on to interpreting the results.

I believe this software is heavy and it is always slow to start when opened, it takes quite a while and since it is one I use all the time, I have it installed on all my laptops and it always tends to be slow which can be tiresome especially when you are in a rush to carry out an operation to see the results and quickly interprete. Apart from that the software itself once opened is quick and prompt in its responses.

It is an excellent software for handling large volumes of data, because it allows in a simple way without great technical knowledge to perform from simple statistical calculations, descriptive statistics, data validation to inferential or predictive statistics.
It is designed in a simple and user-friendly way since it is not necessary to use complex knowledge to encode data when using qualitative data.
In relation to the predictive information that allows to generate is of great support for decision making, especially through the statistical models generated by the data under study, thus allowing the obtaining of models whose level of confidence can reach up to 95% .
In a few words, an ideal software for research, mainly in the social area.

Due to the large number of possibilities it offers for the treatment and analysis of data, it can be quite overwhelming in principle, especially if the differences between each of the analysis possibilities it provides are not clear. This also means that it is necessary to dedicate a considerable time to explore each one of the possibilities that it offers and to see the tutorials offered for the use of the software.

Another disadvantage is the quality of the generated graphics, if we compare them with other similar software for the handling and analysis of data that exist in the market, since if we want to have better quality graphics, mainly if we need to make presentations in general we must go to other software.

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.

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.

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.

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.

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.

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.

The user friendly nature, automatic analysis and results features

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

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.

In my profession the collection and processing of data represents a supreme importance, a social worker practically lives of interpreting the data that he collects in reality, to impel strategies and solutions to the problems of the collectivity will depend directly on the quality of the radiography that one manages to take of the group with which one works, SPSS is a tool that taxes to this end, since not only it allows us to process the obtained data but also it offers us an incredible variety of statistical analysis that facilitates the task to us of being social workers.

Nothing to object to, a wonderful tool, a fundamental part of my work for a long time

SPSS is a multifaceted statistical package that allows different types of analysis. Statistical package for social sciences (SPSS) enables to obtain statistics ranging from descriptive statistics to complicated multivariate analysis.
The statistics menu helps the researcher or business analyst to analyse and interpret data by clicking the drop down arrow under data, analyse and graphs.
SPSS helps researchers and business analysts to generate new variables by clicking the transform drop down menu which provides the steps or procedures for generating new variables. The package supports several functions for example arithmetic functions, statistical functions for example MEAN.

SPSS is not suitable for anlysing time series data and panel data. Does not allows for same time estimation of regression parameters and relationship between regressor or independent variables. Compared to other packages SPSS does not support model development (Structural Equation Modelling). SPSS does not provides model fit indexes to assess how well data or information is represented.