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OpenLearn- Getting Started with SPSS: A free and open online class for learning to use SPSS for data analysis.They are too similar to justify seeking out this specialized software. However, my take on this software is that unless you really need a more powerful tool just stick to Excel.
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As a non-technical person I learned how to use it in under an hour by following an online tutorial from the University of Illinois Library. To make up for how expensive it is, it is incredibly easy to learn. One of the main complaints about SPSS is that it is prohibitively expensive to use, with individual packages ranging from $1,290 to $8,540 a year. Although it looks a lot like Excel, it can handle larger data sets faster and with more ease. It does not have a command line feature but rather has a user interface that is entirely point-and-click and somewhat resembles Microsoft Excel. SPSS is an IBM product that is used for quantitative data analysis.
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Despite this steep learning curve, there is an abundance of free online resources for learning R. The programming language it operates on is not intuitive and it is prone to errors. The problem a lot of people run into with R is that it is not easy to learn. It also has some capabilities Stata does not because users with more technical expertise can program new functions with R to use it for different types of data and projects. It has the same features as Stata such as a point-and-click user interface, a command line, savable files, and strong data analysis and visualization capabilities. As such, there is a strong and loyal community of users who share their work and advice online. The first and probably most important is that it is a free open-source software that is compatible with any operating system. R and its graphical user interface companion R Studio are incredibly popular software for a number of reasons. The University Library’s Guide on STATA: A great place to find links to additional resources on Stata.Resources for learning STATA: Lot of information on how to execute specific functions in Stata.Acock: A great reference for getting started with Stata available through the Scholarly Commons collection. A Gentle Introduction to STATA by Alan C.STATA YouTube Channel: A great resource for troubleshooting problems in Stata.Finally, its functions are limited to numeric or categorical data, it cannot analyze spatial data and certain other types. Unlike an open-source program, you cannot program your own functions into Stata, so you are limited to the functions it already supports. Stata is not free to have on your personal computer. Furthermore, it has a system for version-control in place, so you can save syntax from certain jobs into a “do-file” to refer to later. It has both a point-and-click user interface and a command line function with easy-to-learn command syntax.
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It is a complete, integrated statistical software package, meaning it can accomplish pretty much any statistical task you need it to, including visualizations. Stata is popular in the social sciences, particularly economics and political science.
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Rock your research with the right tools!Īmong researchers, Stata is often credited as the most user-friendly data analysis software. Every data analysis software I talk about in this post is available for University of Illinois students, faculty, and staff through the Scholarly Commons computers and you can schedule a consultation with CITL if you have specific questions. In this post I will explain the pros and cons of Stata, R, and SPSS with regards to quantitative data analysis and provide links to additional resources. The nature of your research data, your technological expertise, and your own personal preferences are all going to play a role in which software will work best for you. There are a number of data analysis software systems out there, but it is not always clear which one will work best for your research. It can seem like a really daunting task, especially if you have never attempted to analyze big data before. As you do research with larger amounts of data, it becomes necessary to graduate from doing your data analysis in Excel and find a more powerful software.