Holy smokes. This e-book  (distributed for free via Open Stax ) contains sample result sections for multiple statistical tests, which is helpful but not particularly unique. There are other resources for creating APA results sections ( love U. Washington's resources ) but I feel that this book is particularly useful in that: 1) It addresses how to include effect sizes in tests (most of the result section examples I have been able to find neglect this increasingly important aspect of data analysis). 2) The writers translate SPSS output into results sections. 3) The writers aren't psychologist but they are APA compliant (and even point out instances when their figures and tables aren't APA compliant). 4) It is gloriously free. The only shortcoming is that they don't provide examples for more types of data analyses. The book does, however, cover chi-square, correlation, t -test, and ANOVA, so most of what is covered in introductory statistics courses. I think th...

Kristoffer Magnusson is a psychology graduate student with a background in web design and he is using his talents to create succinct, beautiful visualizations of statistical concepts. Below is a screenshot of his interactive tool for a better understanding of correlation and how it relates to shared variance (users can change the n -size and r and watch the corresponding changes in shared variance and the scatter plot). Follow Magnussen's work and statistical visualizations via  @rpsychologist . Special thanks to Randy McCarthy for recommending this resource! Using the "Slide me" bar at the top, you can adjust the correlation in order to visualize the scatter plot, slope, and shared variance.

Center for Open Science (COS) is an  organization  that seeks " to increase openness, integrity, and reproducibility of scientific research " . As a social psychologist, I am most  familiar  with COS as a repository for experimental data. However, COS also provides free consulting services as to teach scientists how to make their own research processes more replication-friendly .  As scholars, we can certainly take advantage of these services. As instructors, the kind folks at COS are willing to provide workshops to our students (including, but not limited to, online workshops). Topics that they can cover include:  Reproducible Research Practices, Power Analyses, The ‘New Statistics’, Cumulative Meta-analyses, and Using R to create reproducible code (or more information on scheduling, see their availability  calendar ). I once heard it said that the way you learn how to conduct research and statistics in graduate school will be the way you...