The new statistics: a five-day course

Last week, I taught a 5-day-course for the LOT (Landelijke Onderzoeksschool Taalwetenschap; Netherlands National Graduate School of Linguistics; www.lotschool.nl) introducing the new statistics to PhD-students working in linguistics and related fields of research. Links to the course materials can be found in this post (apologies for the many typos).

The day-to-day program was as  follows.

1. Important concepts underlying statistics, like population paremeters, sampling, sanpling distribution, standard error and the margin of error. The primary means of developing these concepts was working with ESCI (www.tiny.cc/itns). The lab assignments are primarily based on Cumming and Calin-Jageman's (2017) "Introduction to the new statistics".  The lab-assignments can be found here: www.tiny.cc/newstats. A pdf-version of the presentation can be found here: http://tiny.cc/newstats-presentation
2. Continuation of day 1. For students that finished the first assignment and to accommodate differences in backgrounds, new lab assignments focusing on statistical assumptions underlying the crucial concepts. Some of these assignments are based on Cumming and Calin-Jageman (2017) and ESCI, others work with R. The lab-assignments can be found here:  www.tiny.cc/newstatsla2
3. Lecture only. In the lecture we reviewed the basic concepts discovered in the first two days. The concept of a confidence interval was introduced and the p-value. Furthermore, we discussed  NHST by considering (at a procedural level and not so much on a statistical/philosophical level) how the procedure relates to its foundations: Fisher's significance testing and Neyman and Pearson Hypothesis Testing. We basically saw that NHST is inconsistent with both of these foundations. We also discussed misinterpretations of p-values. The presentation can be found here: www.tiny.cc/newstatsday3. I also made available the lecture notes: www.tiny.cc/newstatsday3ln.
4. Lecture only. This day was about effect sizes. We considered the unstandardized difference between means,  Cohen's d, and the case level effect size measures Cohen's U3 and the Common Language Effectsize. The powerpoint presentation is at www.tiny.cc/newstatsday4.
5. On the last day the students worked on new lab assignments focusing on interpretations of significance, the use of p-values and effect sizes in published work and working with effect size measures based on SPSS ANOVA output. These assignments can be found here: www.tiny.cc/newstatsday5.