Rmd files, depending on the test you want to perform. If you use the script for the first time, also install the latest version of JAGS. zip file, there is one script for dependent t-tests, and one for independent t-tests. However, the ultimate goal of providing this script is not educational - it is simply to get researchers to report the analyses they should, and do so efficiently. In the end, whether or not automated analyses improve or deteriorate researchers' understanding of statistics is an empirical question. If anything, reading an automatically generated results section of your own data that includes statistics you were not accustomed to calculate or report is likely to make you think more about the usefulness of these statistics, not less. ![]() Having performed statistics mindlessly myself for most of my professional career, I doubt having had access to this script would have reduced my level of understanding. ![]() Automated analyses might strike readers as a bad idea because it facilitates mindless statistics. As an example, I have created two R scripts that will allow researchers to compare dependent and independent groups. The script performs all the recommended tests, creates all required plots of the data, and writes the results section, including the minimally required interpretation of the statistical results. Here, I propose a way to speed up the widespread adoption of the state-of-the-art by providing researchers with a single script that will perform and report all statistical analyses. Progress is slow, and Sharpe (2013) points to a lack of awareness, a lack of time, a lack of easily usable software, and a lack of education as some of the main reasons for the resistance to adopting statistical innovations. ![]() Even though reporting effect sizes and their confidence intervals has been recommended for decades (e.g., Cohen, 1990), statistical software (e.g., SPSS 22) often does not provide these statistics. Where statisticians update their recommendations, statistical textbooks often do not. When performing a t-test researchers rarely manage to follow all recommendations that statisticians have made over the years. RetrievedĬorrectly comparing two groups is remarkably challenging. New to R? This 5 minute video will get you up and running with this script in no time.įor comments, suggestions for improvements, or if you find an error, please contact me at can cite this script as:
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