121. How Do We Know if a Program Made a Difference? A Guide to Statistical Methods for Program Impact Evaluation
122. Common Misconceptions about Data Analysis and Statistics 
123. Taking a Chance in the Classroom: Five Concrete Reasons Your Students Should Be Learning to Analyze Data in the Reproducible Paradigm
124. What p-hacking really looks like: A comment on Masicampo & LaLande (2012)
125. All English soccer results 1888-2014
126. Qualitative Comparative Analysis in Critical Perspective
127. Data wrangling, exploration, and analysis with R (link updated, 2019-09-27)
128. How to Make More Published Research True
129. Reproducible Research: What, Why, and How?
130. Sailing between the Scylla of hyping of sexy research and the Charybdis of reflexive skepticism