PHD 646 Quantitative methods part 1 - Design and Analysis. Max 10 participants - the course will be open for external ph.d.-students but ph.d.-students from NIH will have priority.
28. februar - 16. mars
06. februar 2023
NIH
kl.09:00
Interactive sessions, delivered in 2-hour blocks (9:00 am – 11:00 am) on 3 mornings (Tuesday, Wednesday, Thursday) per week over 3 weeks - starting week 9 / Tuesday 28th Feb2023, last session week 11 / Wednesday 16th March 2023. See details of sessions and support material/books and papers below ("Program").
Please see Canvas for possible updates.
See also "Course plan Quantitative methodology (Emneplan - only in Norwegian)
Professor Ørnulf Seippel, IIS, NIH (email: ornulfs@nih.no)
Professor Rob Herbert, Neuroscience Research Australia (NeuRA) / University of New South Wales, Sydney (email: r.herbert@neura.edu.au)
The course will build on competence similar to the course in methodology from the master study at the Norwegian School Sport Sciences (MET400)
See also student assignments below ("Praktisk informasjon").
Thomas, J., Nelson, J. K., & Silverman, S. J. (2015). Research methods in physical activity (7th ed.). Chapter 1-5, 11, 14-18, Human Kinetics
Helsebiblioteket.no (u.å.) Kunnskapsbasert praksis (in Norwegian)
The first 6 sessions will be at campus, while the rest will be via Zoom (from Sydney, Australia)
Session | Week | Day | Content | papers | books |
1 | 9 | T | Regression: Exploring data, ØS | 1 | |
1 | 9 | T | Regression: Introduction to linear models, ØS | 1 | |
3 | 9 | W | Regression: Multiple models | 1 | |
4 | 9 | W | Regression: Diagnosics | 1 | |
5 | 9 | Th | Regression; Fitting general linear models, ØS | 1 | |
6 | 9 | Regression: Multilevel models, ØS | 2 | ||
7 | 9 | Th | Asking a good research question, RH | 3-5 | |
8 | 9 | Th | Association, prediction and causation, RH | 6 | 7 |
9 | 10 | T | Designing experiments and randomised trials, RH | 8,9 | |
10 | 10 | T | Analysing experiments and randomised trials, RH | 10 | 8,9 |
11 | 10 | W | Designing observational studies of casual effects, RH | 11 | |
12 | 10 | W | Analysing observational studies of casual effects, RH | 12,13 | 14, 15 |
13 | 10 | Th | Prediction, RH | 16 | |
14 | 10 | Th | Systematic reviews and meta-analysis, RH | 17,18 | 19 |
15 | 11 | T | Sample size | 20 | |
16 | 11 | W | Student presentations, KB, RH, ØS | ||
17 | 11 | W | Student presentations KB, RH, ØS | ||
18 | 11 | Th | Student presentations KB, RH, ØS |
ØS: Ørnulf Seippel, RH: Rob Herberg, KB: Kari Bø
References
1. Before course start (by February 21st 2023): the students must submit (in CANVAS) maximum two pages including the following information: Research questions for all their planned PhD studies with study design and suggested statistical analyses
2. All students need to prepare a power-point presentation of their revised plans for design and statistical analyses on March 14th-16th, 2023. The students can choose to focus on one or more of their studies.
Binding registration by email to phd-kurs@nih.no