Avis clients sur SPSS
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Publié le 11/11/2019
Analyze the information of your work with this software specialized in statistics.
Commentaires: 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.
Avantages: 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.
Inconvénients: 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.
Publié le 23/11/2019
Best stats package with the ease of functionality and mechanism.
Commentaires: 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.
Avantages: 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.
Inconvénients: 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.
Publié le 22/12/2019
Excellent Statistics Program, But Showing Its Age
Commentaires: Overall, among statistics programs, SPSS is by far the easiest to use in my experience. It offers an extensive set of statistical tests, can import data from multiple outside programs, and walks you through many of the set up steps for the more-advanced statistical tests. However, the interface, while easy to use, is showing its age and isn't always the most pleasant. Additionally, it will often experience freezes when importing data, to the point that the external program needs to be restarted in order to finish the import. If you can get past these relatively minor concerns, however, SPSS is for many users the best option for performing statistical tests, and its cost can be tailored to your individual needs.
Avantages: Easy-to-use interface, comprehensive feature set, works with a wide variety of data sources, multiple purchase options for individualized needs
Inconvénients: Often slows down when dealing with large datasets, has a tendency to freeze for long periods of time when importing data, not all statistical tests offered by the software are well-documented or well-designed
Publié le 09/03/2018
Being in the field of Social Sciences is almost a requirement to get a complet analysis.
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.
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.
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.
Publié le 25/09/2019
The Most Advanced and Sophisticated Statistical Package
George rex A.
Commentaires: 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.
Avantages: 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.
Inconvénients: 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.
Publié le 22/12/2019
Commentaires: Very user friendly and an amazing product. I will keep using it till I am doing any form of sophisticated analysis for my research.
Avantages: I love SPSS and have been using it for more than 10 years. I started using in college for my basic analysis such as t-test and ANOVA. Now I run path models and advanced regressions, mediation, and moderations. Highly recommend for any statistician or researcher.
Inconvénients: Some kinds of analysis are not possible, where AMOS, or Mplus is needed. I wish there was a way to add that functionality, especially for unsaturated path modeling and HLM analysis.
Publié le 28/09/2019
Best Tool for Data Analysis
Commentaires: SPSS as a data analysis tool has been beneficial to me, thereby giving me the ease to run my data analysis work and assignments very well while in school.
Avantages: What i like most about this software is the easy to use functions in running data analysis, computation and calculations. Also providing the perfect output for me.
Inconvénients: I like everything about the software, it is my best tool for data analysis. Hence, what i like least about the software is that some functions are been assigned manually before running the data analysis.
Publié le 28/10/2019
Statistics for everyone with SPSS
Román josué D.
Commentaires: Statistical analysis, data analytic tasks, survey tabulation, summary and analysis of insights, hypothesis testing.
I liked from SPSS that even though is a statistical software oriented for social sciences, it actually can be used in many fields once you learn how to use it.
I also liked that the learning curve is not difficult. As many users of SPSS are non-technical people, they find this tool very friendly and easier to learn than a programming language, or a more advanced software. In addition, it is familiar to other programs an average user has used.
I am both a user and an instructor of SPSS, and think that
Inconvénients: I find SPSS as a great tool, with many useful features, and until now I haven't found any aspect from it which I dislike.
Publié le 23/09/2019
Very useful for statistical analyses
Commentaires: I was trying to run a set of statistical analyses on climatic variables that include temperature and precipitation on a monthly time scale
Avantages: 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
Inconvénients: It did take some time to get accustomed with SPSS but that would be true for most softwares out there
Publié le 31/10/2019
Best companion for easy statistical data analysis.
Commentaires: I did my biostatistics project using this software. Hope it will update it's interface with a modern look.
Avantages: Best software for students for normal statistical operations. Lots of functions that is enough for pretty much all statistical functions. Provides results in a way that they can easily be copied.
Inconvénients: The interface is a bit old school. Sometimes (while running simple apps on background) takes a long time to start up on my computer.
Publié le 15/02/2019
A sports car product
Commentaires: 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.
Avantages: 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.
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.
Publié le 03/04/2019
Helpful assistant to reveal the insight of the statistical data
Commentaires: Great software to enhance the productivity of the statistical data. providing various tools and functions to reveal the insights of any statistical data.
I have been using licensed version of IBM SPSS statistics for 2 years (nowadays SPSS 23). SPSS has the capability to handle any statistical data which are in the format of rows and columns. variable view of the SPSS provides user friendly platform to enter the survey data within a structured environment, so it makes data entries easier and faster without having errors in the format. it supports various other format of statistical data such as excel, dbf, csv etc., and also can directly import from another database such as MS Access and postgre sql.
Contains all the required tools to maintain statistical and string data (merge, split, query, re code, compare, etc.) thus it recommended for statistical data management and analysis.
Integration of python and script platform provides the path for automate the repetitive tasks and support complex statistical functions. my favourable feature of this product (SPSS 23) is the integration of the Geo spatial association rules which has the ability to reveal spatial pattern and predication from the spatial data attributes.
Inconvénients: It is a commercial product, so it would cost reasonable amount to purchase. there are some issues happening during the database integration with other databases. standard of the user help forums has to be enhanced to get most of the usage out of the software.
Publié le 04/04/2019
Criminologist's best friend
Commentaires: 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.
Avantages: 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.
Inconvénients: 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.
Publié le 16/06/2018
A great tool for the statistical analysis of data for its simplicity and excellent results
Commentaires: Ease and speed in the analysis of large volumes of data, in addition to a wide possibility for the treatment of them in a single software and for a price quote adequate to the results provided
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.
Inconvénients: 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.
Publié le 03/07/2018
It is user friendly, professional and perfect for those people who need to analyze quantitative data
Commentaires: Working with this software in one of the most important section of my job.
Avantages: 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.
Inconvénients: 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.
Publié le 07/06/2019
Analyse your dissertation data with spss
Commentaires: Hard to use, but it gets the job done, and you get your results which are reliable and well tabulated.
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
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.
Publié le 10/07/2018
My experience with SPSS has been nothing short of amazing. I rely on it daily, and am never let down
Avantages: 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.
Inconvénients: 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.
Publié le 22/11/2018
SPSS for digital mental health research
Commentaires: I am the Principal Investigator of a NIMH funded study that aims to test the efficacy of digital platforms in delivering cognitive training software to people with psychotic illnesses. Our serves store enormous amounts of data and we leverage the processing ability of SPSS to customize multiple data analysis pipelines. I've used SPSS for almost 10 years now and I must admit that it continues to represent an indispensable tool in my research.
Avantages: SPSS Is the milestone of our data analysis pipeline. The software has been increasingly more user friendly release after release, the graphical interface is more intuitive, and the customization options have improved. SPSS syntax is easy to learn, implement, and teach to students in the lab.
Inconvénients: Some advanced statistical functions require syntax that isn't available through the menu options. I find myself sending syntax to colleagues and students in order to accelerate collaborative analytical projects
Publié le 26/04/2018
If you're looking for a point-and-click analytics software, SPSS is probably the best one out there.
Commentaires: The software benefits me by offering easy to read and useful tables and charts that don't require tons of time outside of the software to make the tables/charts publication quality. Every reader of my SPSS works loves what SPSS produces.
Avantages: SPSS is the most user-friendly statistical analysis and data mining software on the market. The point-and-click interface makes it easy to construct. The ability to create scripts for future automation is nice and its movement into new areas like text analytics and big data makes it more useful. The SPSS output is the best I've ever used for publication quality tables.
Inconvénients: Although SPSS is very user-friendly, its graphical capabilities are sub-par compared to similar software. Because the software is so user-friendly, if you're a more advanced user like myself, SPSS takes more time and has more restrictions to customize the reports and analytical reports.
Publié le 25/01/2019
Industry standard for psychological research
Commentaires: Definitely the standard statistical package in my field (psychology research), and for good reason. SPSS is a data workhorse.
Avantages: 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.
Inconvénients: 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.
Publié le 31/07/2018
Wonderful Analytics tool !
Commentaires: Great analytical and visualization tool!
Avantages: Extremely user friendly, you can conduct analysis with or without code, from simple linear regressions to complex neural networks can simply be done with the click of a button through the drop down media. Useful tutorials that help newcomers to the software! This is especially helpful if you have not used the software before. Versatility, this software can open almost any type of data file and output a myriad of files, for example you can open excel, spss files and output graphs as jpeg or png file formats.
Inconvénients: Menus are very clunky and not visually appealing. Some advanced metrics for analysis are not easily accessible, these include SVM, decision trees etc. Extremely expensive! I am not sure how much a full liscence cost but it is worth the cost!
Publié le 11/06/2019
The Magnificent software for statistical data analysis and reporting :IBM SPSS
I actually find IBM SPSS to be the very best software solution for statistical analysis based on my own personal experience. It has helped me to accomplish much research works by providing me with accurate and quality results within a very short period of time than manually generating all those sorts of techniques like ANOVA, regression, Descriptive statistics and so on.
I find it ideal to work with this software solution and I urge other statisticians and researchers to try out this excellent software because this is something that you can not afford to miss.
I prefer IBM SPSS to any other software product because with IBM SPSS I have all the statistical data analysis techniques integrated into one component.
The IBM SPSS is capable of manipulating almost all statistical problems including the recent advance statistics.
This is the most accurate statistical analysis tool that provides accurate information such as correlation analysis to individuals or larger organizations for managerial purposes or future planning.
This software product requires some level of experience and is somehow laborious to use at first.
The overall implementation and maintenance cost is a bit costly, but once it fits in it proves to be advantageous.
Publié le 29/04/2019
The best Statistical Software for Social Sciences
Commentaires: Without this software, writing articles would be more time-consuming. Data analysis is much easier with SPSS, even if you don't organize your database earlier.
Avantages: 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.
Inconvénients: 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.
Publié le 09/10/2018
More Intuitive than Other Statistical Packages, If Less Robust
Avantages: I've worked with several statistical analysis packages during my time as a health researcher. By far, the one I'm most fond of is SPSS. Its user interface in its latest versions is truly a thing of beauty. Instead of having to learn a new programming language, I can easily work through drop-down menus to perform all the analyses I need. The program is compatible with .csv and .xls files, meaning I can easily dump data into the program, and even edit/clean it within SPSS (though I'd recommend putting clean data in, instead of relying on SPSS to do it - the program can be a little clunky in this department.) For quick and simple data analysis, I recommend SPSS to anyone.
Inconvénients: Some other data analysis packages are free, whereas SPSS comes at a price. It's not anywhere near as steep as some other, similar statistical software, but it is not free. Furthermore, simplicity and user-friendliness comes as a trade-off with functionality. Some of the more nuanced analyses that could be performed in other programs, using more sophisticated programming language, cannot be (or cannot easily be) performed in SPSS.
Publié le 11/04/2019
An excellent solution for data management and information matrices.
Avantages: 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.
Inconvénients: Nothing to object to, a wonderful tool, a fundamental part of my work for a long time