Reading Assignment – Collecting Carefully.

This is a reading assignment for “Episode 28: Collect Carefully” of “The Data Science Ethics Podcast”, available at: https://datascienceethics.com/podcast/collect-carefully/ . My eventual hope is to incorporate it into a course on data ethics and (AI) safety, but that's still a long way from being anything solid. From recent interviews with post secondary institutions, I heard that a lot of schools are looking to incorporate ethics into their stats and data science courses, so I hope this and some of my future posts can contribute to those efforts.

 

Reading Assignments - Split-Plot Design, Magnitude-Based Inference

This semester, I'm teaching a new (to me) course that's heavy into design of experiments and biostatistics, which means I needed some new reading assignments. First, a survey of applications of split-plot designs for fisheries. Next, a seminal paper on magnitude-based inference, written for physiologists. Non-paywalled links to the papers included.

Reading Assignment - Grant Applications

The purpose of this reading assignment is to give you a sense of the sort of things that someone consulting a statistician will want to know.

Read Chapter 22 – Writing the Data Analysis Plan, by A.T. Panter, of the book How to Write a Successful Research Grant Application – A Guide for Social and Behavioral Scientists, Eds.
Pequegnat et al., 2^nd ed., and answer the questions that appear after the preliminary notes.
 

Assignments for statistical literacy: Big Data in Healthcare, Data and the Law, Manual Writing

This semester, I've been trying a lot of new assignments to encourage reading and writing of statistical literature as part of a new class and in preparation for a course pack I am publishing soon. 

Here are two of the reading assignments and one of writing exercises that I tried this semester: "Data and the Law", "Big Data in Healthcare", and an exercise on writing good statistical instructions.

All of the required reading is open access.

Reading Assignment - Designing Survey Questions

In one of the second year service courses I taught this semester, some people were unable to do the participation assignment for non-academic reasons. This means I needed an alternative assignment, which gave me a chance to field test the following reading assignment.

This is based on Chapter 8 of the book Successful Surveys - Research Methods and Practice by George Gray and Neil Guppy. The chapter is "Designing Questions of the book Successful Surveys."

Reading Assignments - Model Selection and Missing Data

These are two more readings that were incorporated into a 3rd year stats course geared towards life and health sciences. One is a model selection paper geared towards ecologists, and the other is a paper on missing data and imputation in the context of medicine and survival analysis.

Reading assignments - Casuality and Significance

I've wanted, and struggled, to incorporate reading assignments into my stats teaching.

These are two readings incorporated into a 3rd year stats course geared towards life and health sciences. One of them is on causality and design of experiments, and the other is a criticism of null hypothesis test.