Companion to the Nursing Ph.D. & DNP Statistics Curricula
A set of explanations, lectures, resources, and activities to complement the statistics curriculum that is part of Hunter College’s Ph.D. Program in Nursing Research and Health Equity and DNP Program.
Very much a work in progress—and anyway intended to be in addition to and not instead of the many resources elsewhere—this companion currently contains:
Lectures and essays on topics covered in the applied statistics curriculum:
A hands-on guide to writing Results sections (Chap. 3)
Discussions and activities expand upon the statistical concepts of significance (Chap. 4), correlations & partial/semipartial correlations (Chap. 5), effect size (Chap. 6), missing data (Chap. 7), and model building (Chaps. 8 – 10)
Lectures and essays on topics covered in the introduction to psychometrics course, NURS 925 (Chaps. 11 & 12)
Step-by-step guides to using various stat-related software (Chaps. 13 – 17)
Tables of common statistical abbreviations and terms along with their meanings (Apps. A & B)
A small collection of decision trees (flowcharts) to decide which analysis to conduct (App. C)
PDF-version typefaces are TeX GyreBonum for both text & formulas and TeX Gyre Adventor for code blocks.
OpenAI’s ChatGPT has been occasionally used for clarity and content review—and extensively to debug code errors and issues (I’m looking at you, Quarto).
This Companion is produced through Bookdown in the RStudio environment with: