SPSS

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Analyze, Collaborate, and Share Research with Open Source Tools

The most powerful free and open source (FOSS) statistics program, though, is R. Originally a FOSS version of the statistics language S, R has shown explosive growth over the last few years, with some 7,000 add-on packages available to handle nearly any statistical requirement and an increasing number of books, courses, and blogs (e.g. R-bloggers) focusing on practical usage. Some websites concentrate specifically on how to use R for psychological research—an example is William Revelle's Personality Project, which also offers an R package called psych, a toolbox for personality, psychometrics, and experimental psychology...

Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS

In my ongoing quest to track The Popularity of Data Science Software, I've just updated my analysis of the job market. To save you from reading the entire tome, I'm reproducing that section here.One of the best ways to measure the popularity or market share of software for data science is to count the number of job advertisements that highlight knowledge of each as a requirement. Job ads are rich in information and are backed by money, so they are perhaps the best measure of how popular each software is now. Plots of change in job demand give us a good idea of what is likely to become more popular in the future. Read More »

Is Scholarly Use of R Beating SPSS Already?

One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to use Google Scholar to count the number of scholarly articles found each year for each software. He chose Google Scholar since it searches "across many disciplines and sources: articles, theses, books, abstracts, and court opinions, from academic publishers, professional societies, online repositories, universities, and other web sites." Figure 1 shows the results from 1995 through 2016. Data collected in 2018 showed that while SPSS use dropped 39% drop from 2017 to 2018, its use was still 66% higher than R in 2018. Read More »