I was trying to run a set of statistical analyses on climatic variables that include temperature and precipitation on a monthly time scale

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

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.

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.

It has been good so far

What I like most is; it comes with Python IDE

I can't perform most operational research analysis with it

It provides fantastic choices for the graphical display. I am happy to use this software for our social research purpose.

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.

After being introduced to SPSS about 10 years ago I have never used any other similar product. I have even helped colleagues who use a different program with their analyses by saving their data to a USB, using SPSS in my office, and providing them with a hard copy of the results as well as the SPSS input/output data. Typically, they want to know how to get their hands on a copy of SPSS.

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.

Our organisation prepares insightfull reports and summary statistics with the support of SPSS, it benefits to the productivity of the projects and decision making process.

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.

I have used it to analyze data collected from market research for the services I offer. I am able to then make informed decisions from the trends I observe through the analyses.

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.

SPSS has a learning curve in the beginning but after working out a few kinks, the program allows the user to do all their data needs.

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.

I used SPSS for research projects in Master of Business Administration. In the beginning data analyzing and learning the use of software was a time consuming process. I understood that this software can also used for organizational data analysis where sufficient data is available. However , the software lacks intelligence to select correct data out of the imported data therefore data cleansing is important.

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.

Overall SPSS is a great program to use for statistical analysis. Its easy to use with Excel so you will have little to no problems puttting your Excel sheet in SPSS. With a lot of options of all kinds of analysis, SPSS is a great program to use

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.

I have started to use SPSS when I was a student, now I have 10+ years of experience using it. Thanks to its user-friendly interface it is quite easy for the newbies to get started with the software, and after a while be proficient to use the syntax and optimize the time when managing databases and running analysis.

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.

For more than 6 years now, in our missions of baseline studies, market and impact assessments of projects; after some missions of large-scale information collection via paper and/or digital media, we have always opted for the use of IBM SPSS software as a tool for data entry and/or analysis. It is an excellent tool for data entry because it is easy to use when setting up a data entry mask and it is also easy to use by the data entry agents. We also use it regularly for statistical analysis (PCA, AFM, Student's t test, etc.) and sometimes econometric analysis (OLS, Oprobit, Probit, Logit, etc.). Therefore, it is a very useful software for statistical, graphical and sometimes econometric analyses of large databases.

Excellent software for entering questionnaires, coding variables and analyzing primary data. Easy to use and available in several languages (including English and French). Its interface is very attractive and designed.

The software is much more suited to the analysis of survey data and performs poorly in the specification of econometric models of panel data.

When I first used the program, it was very difficult and almost impossible to learn. However, as I spent time in it, I began to understand and comprehend. Ultimately, the program allows for a great experience if well learned. I think it is necessary to learn this program in order to be a good researcher.

I like to be able to see the analyzes I have done in the past with a single click, making it easy for me to switch to a new analysis while I am analyzing the data most in the software. At the same time, the program works very fast and I can see all the data analysis I want on a single screen. Again, by allowing the SPSS-Macro extension, I find it successful to do the analysis formats developed by Hayek. While doing this, I do not experience any freezing in the program, it runs smoothly. In this sense, it provides great convenience in terms of coding and processing of my data, as well as during analysis. Similarly, allowing graphics to be made in the program allows me to visualize the results of the analyzes I have obtained.

The lack of language support in the program is a disadvantage for me. Therefore, the only downside about the program is that you cannot access the software in my own language.

Once I learned how to use SPSS to do what I needed it to do, it became an invaluable tool and a critical part of my workflow--indeed, trying to learn other statistical software packages after figuring out SPSS felt a bit like trying to "unlearn" how to ride a bike. It does have its quirks and flaws, mainly surrounding its UI, but these are literally cosmetic.

The range of statistical tests and techniques available from the get-go in SPSS is unmatched, and there are additional modules that can be added to expand the software's abilities. It becomes relatively intuitive the more you use it, and its export options for the results it calculates are quite robust.

SPSS is quite intimidating if you've never used it before, and without guidance, it may feel almost impossible to get started with it. Perhaps its biggest problem is its ongoing legacy support for previous versions--in other words, IBM periodically seems to slap a new front end on the software, but with just a click or two, you immediately encounter dialog boxes and windows that look like they belong on a machine running Windows XP (...or earlier!). The overreliance on pop-up windows makes the interface even more dated and clunky. Honestly, IBM should completely gut the software and start over from scratch, but presumably that's too big of a task, which leaves us with this black box that has been coated with dozens of layers of proverbial paint.

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

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.

Definitely the standard statistical package in my field (psychology research), and for good reason. SPSS is a data workhorse.

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.

SPSS has become a necessary time-saver for us. It has also given us options with creative reporting and data displays allowing us to be really competitive in our market with offering high quality and visually appealing data analysis.

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.

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.

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.

Anyone who deals with statistics and data analysis cannot get around SPSS. Even newcomers can quickly get to grips with SPSS after a short familiarization period thanks to the graphical and guided interface. Data sets are quickly read in. The scope of SPSS really leaves hardly anything to be desired. A program for "home use", but also for professional and complex data analysis.

Unfortunately, SPSS can only be purchased through a monthly or annual payment plan. A single user license is unfortunately not available. For a non-profit organization or student needs it is very expensive. If the university does not have a license, one will have to resort to cheaper, opensource alternatives (like R).

Academic computing in the social sciences - SPSS is particularly strong in data management.

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.

The wide range of packages and difficulty in telling what procedures are available in specific packages. Merging files has become unduly complicated.

It is very good at organizational skills. Never mind the lack of added features, when it come to . just extrapolating or interpolating data or just finding a good system to put into, I usually like this one. The functions are very easy to understand and the storage is very nice!

This is nothing compared to Excel. You can't use funtions at the simple tying of an equals sign and there are no extra platform calculations you can do to visualize and analize your data. Pretty much garbage at his point for data analysis. Plus you have to go on a hunt to find the feature you are looking for. Doesn't come at your disposal.

Ease of running statistical analyses. Comfort of knowing my data was safe. Comfort of knowing my results were reliable.

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!

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.

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.

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.

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.