IBM SPSS Statistics - Avis

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.

ability to process huge amounts of data in short time. easy to use interface.

no option to search for a specific feature or operation that i want to apply.

Data can be easily imported to the software from data bases and Excel. Once the data is imported the graphical depiction of the data can be used to identify the behavior of data. After understanding the behavior of the data the data can be analyzed using the available statistical models. The most suitable statistical model for the data can be finalized in the process of data analysis. The software has a broad range of statistical models build on linear and regression theories and models. The software is easy to use with an unsophisticated menu driven interface. Anyone with basic mathematical knowledge can use the software for the analysis. An expert in statistics is not needed as data analyzing consists of few simple steps. However , 3- 4 weeks is needed to properly familiarize with the software. Basically four steps can be identified in using this software. First step is importing data , second step is selection of a procedure , third step is selection of a variable for data analyzing and fourth step is generating of results.

The efficiency of the software decreases when the size of data increases. Therefore, this can be a major drawback when used in the sectors such as health care. SPSS has 2 main windows one depicting data and the other depicting results. Therefore the software is too simple with limited windows. The software is very similar to excel and most of the results obtained in SPSS also can be obtained in excel by complex calculations .This is comparatively expensive compared to the similar software. The data should be cleaned before analysis in order to generate correct results.

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.

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

What I like the most about SPSS is the amount of options you have. It's really easy to perform an analysis on a small group of data in a big data sheet.
If you want multiple kinds of graphs for
a multitude of data groups, all the graphs will be sorted and neatly arrange in a easy to use overview.
It's also really easy to combine SPSS with Excel (and other programs like Excel). You can easily use the data you have collected in excel, in SPSS. You just have to make sure that the data is arranged in the same way as SPSS, ortherwise SPSS won't be able to read your date.

What I don't really like about SPSS is that it opens a lot of new windows. If you want to make a graph. It opens a new window for the graph, and if you want to edit this graph another's window will be open. So if you don't close each window after you use it, they'll eventually add up to such a number that it could get difficult to find the right window again.
It's also quite difficult to start with SPSS (especially if you switch from Excel). Because there are so many options it could be difficult the find the one you are looking for, but after some time this won't be a problem anymore.
SPSS also isn't easily used as a data collector. It's greatly restricted how and where you can fill in you data. So for data collection it's better to use a different program, like Excel.

SPSS allows me to work in point and click and also in syntax to run analyses to solve our research questions. I typically run linear regressions, ANOVAs, ANCOVAs, and descriptives/frequencies in SPSS. My favorite part of this software is how easy it is to use in comparison to its competitors.

I really dislike the price of a license. My company covers the cost of the license so I do not have to worry about it, but I would be hesitant to use SPSS if I had to purchase a license on my own dime.

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.

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.

SPSS has become a analysis tool that is vital to our work. The ability to use and reuse files and create templates has greatly increased our efficiencies. The quality of the analyses we're able to do make it a very effective tool for our data analysis and our ability to clearly, accurately and creatively report our findings.

It's a tough software to learn and remember where everything is located in the toolbar, and how each function applies, but once you master the language of it, possibilities are endless regarding quick creation and analyses of your data files.

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.

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.