SPSS

Kommentare: 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.

Vorteile: 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.

Nachteile: 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.

Kommentare: Great software to enhance the productivity of the statistical data. providing various tools and functions to reveal the insights of any statistical data.

Vorteile: 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.

Nachteile: 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.

Kommentare: 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.

Vorteile: 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.

Nachteile: 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.

Kommentare: 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

Vorteile: 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.

Nachteile: 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.

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

Vorteile: 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.

Nachteile: 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.