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
Publié le 20/09/2018
SPSS still the one after all these years
Commentaires: Academic computing in the social sciences - SPSS is particularly strong in data management.
Avantages: I have been using SPSS since 1981 and it is still my go to statistical software as I have progresses from a graduate student to a full professor. Ease of use. Verified and reliable calculations. The SPSS paste function allows users to work in a GUI environment but also permits users to write syntax that can then be reused and modified providing a record of data transformations and statistical procedures.
Inconvénients: The wide range of packages and difficulty in telling what procedures are available in specific packages. Merging files has become unduly complicated.
Publié le 31/05/2018
It's pricey, but it's SO worth it! I could not have gotten through my thesis without it.
Commentaires: Ease of running statistical analyses. Comfort of knowing my data was safe. Comfort of knowing my results were reliable.
Avantages: This software is fast, reliable, and flexible. I used it for my Master's thesis and I actually wound up using it for my first HR job at a drug company. I built surveys for them for patient satisfaction and, eventually, employee satisfaction. Using this software I was able to keep our data safe, gather stats over time, and control for certain variables that might have affected our results had I used something more trivial like Excel. Definitely recommend this!
Inconvénients: The only con I can think of is the price. It can get pricey, especially if you cannot purchase a student copy. My license has expired and I have not yet renewed simply because my thesis is finished and my current employer does not have a desire to see employee stats -- not for that price, anyway! Hopefully I will be able to convince the execs that this is a necessary tool. Perhaps a more extensive trial period (or maybe a discount for the first 3-6 months?) would be helpful. That would allow for plenty of time to gather data and run stats so that my executive team might be able to see the benefits.
Publié le 07/10/2016
SPSS base is a must for market research
Commentaires: I've been using SPSS for a few years now, and I think it's not more than logical that it's the market leader for the segment. It's GUI makes it easy for beginners to work with it, but the understandable and fast to learn syntax makes it very neat to work with for the more advanced researcher. The only pity for the software package is the extreme pricing. I'm now using SPSS Base because of the high price for the more advanced packages, but that also means that I'm missing out on (what I think are) quite standard needs for a researcher, like logistic regression and tables. I've tried some open source packages like PSPP and R, but still SPSS is worth the money, although I think for that amount they could 'upgrade' the base package a little more to include all the basics.
Publié le 26/12/2018
Data analysis tool for professionals
Commentaires: I learnt SPSS as a part of a university course on time series analysis. The interface is easy to use while the coding required some computing knowledge. However, I have been using SPSS in the workplace to carry out inferential and descriptive analysis without any major glitches. It is more powerful than Excel in handling large and multiple data sources but a bit limited in functionality when compared to SAS or R.
Avantages: SPSS is a versatile data analysis tool with a wide range of statistical analysis tools. One can carry out simple descriptive analysis as well as pre-process/clean, visualise and model data using GUI as well as code. The interface of SPSS makes it easier to learn as compared to SAS. Data management capabilities of SPSS are a big plus.
Inconvénients: SPSS does not have any major drawbacks other than its price tag. R as a competitor is free and open source. I also found SPSS coding to be less intuitive and graphs/plots rendered to be less 'attractive' than some other analysis packages available.
Publié le 29/12/2018
High performing and user friendly statistical software
Avantages: I liked how IBM SPSS allowed me to perform data analysis on large databases of data. I work in trading, where there are lots of numbers to crunch, different sources of data to manage, and scalability/performance is critical. It generates intuitive simple reports for our traders to view and trade with.
Inconvénients: Compared to Python and R, which are common data analysis languages with lots of library support, SPSS definitely has less features. However, this isn't necessarily a downside since traders are typically less technical, and this is simple to use for them.
Publié le 25/10/2018
Top statistic software
Avantages: This is the top statistic software in the universal educational institute and professional consulting firms I believe. It contains almost every statistics functions and models inside, by simply clicking the methods you want you use, you will generate results with a second. The three independent windows help you distinguish the data area, code area, and output area.
Inconvénients: The copy paste function in the output area sometimes ramble and messed up if you want to move your output to other sources. This can be upgrade in the later version of spss for sure.
Publié le 03/08/2019
Very Good and Convenient Software
Commentaires: I have been using this at my university and at work. It has two different tabs. The data tab and the View tab. In SPSS, the output is opened through a different window where it stores all the data in a separate file. I don't have to worry about overwriting any information by accident. This software makes easy for me to analyze the data and obtain the mean, median, standard deviation, Skewness and many more. By using these tools I could compare two types of data sets and get a thorough idea about the situation. This software makes it much easier.
Avantages: There are different kinds of tools which make work easy.
Inconvénients: The interface looks older and it takes time to open the software.
Publié le 07/09/2018
Statistical Analysis + In-depth Interpretation, perfect for academia and journal writing
Commentaires: SPSS mainly solves our statistical analysis issues by providing a platform for every stat method there is with an option to create data clusters that are easier to understand and interpret. Very handy in the scientific academe.
Avantages: It's great that IBM has developed this product to help everyone in need of statistical analysis. I am part of a scientific research team here in the Philippines and SPSS has been very helpful in our data analysis. Mostly we cover around 10-15 data sets a day involving corals and invertebrates with various statistical methods, but with SPSS, we finish most of it in two days. Great tool for research and can definitely help in journal publishing.
Inconvénients: For beginners, it may seem quite complicated but they will get a hang of it when they start. The should be careful how to apply stat methods though, it can be hard to edit them. But overall, highly recommend. No other statistical software does it like SPSS.
Publié le 20/04/2019
The most dependable data analysis software
Commentaires: Overall I use the software frequently and have never had issues. I also know that the open forum and customer service is great for getting your problems solved.
Avantages: I love SPSS. I know that most in social science learn the basic amalyses using SPSS but the reason is really because of its dependability. I know that I can always find answers on the customer service forum if I need help.
Inconvénients: My least favorite thing is that is not very intuitive. It takes some time to get use to the different possibilities of using SPSS. It would be helpful if there were some daily tips.
Publié le 01/03/2018
Powerful program to perform statistical analysis with complex data.
Commentaires: It benefits me to handle complex database and throws me the required results in a short time.
Avantages: The best thing about this program is the ability it has to work with large databases, with which data analysis, creation of tables and graphs with complex data are made, it includes descriptive statistics such as tabulation and crossover frequencies, statistics of two variables, correlation, among others, in terms of transforming the data that allow us to discover relationships of dependence and interdependence, establish classifications of subjects and variables, predict behaviors in order to help us to make management decisions.
Inconvénients: There is nothing wrong, just that the user must have a high statistical knowledge to use all the options offered by the program, if you have only basic knowledge you can be confused in the choice of the option and also that the result throws a huge amount of information that can confuse the user.