In this digital textbook, you will learn how to read scientific quantitative articles. Learning outcomes can be described as:
- understanding the format of original articles (IMRaD)
- structure and purpose of Introduction
- defining the variables and their types in Methodology of an article
- understanding of how to develop expectations over the descriptive and analytic statistics, such as compare groups based on type of variables
- understanding parametric and non-parametric tests based on different assumptions
- understanding "Estimations" in statistics, such as Relative Risk and Odds Ratio
- understanding the concept of regression analyses
- interpretation of different types of graphs in an article
This course has no requirements. Have at it.
Associate Professor, dept. of Bioengineering, Faculty of Health Sciences, Oslo Metropolitan University. David's main field of research involves quantitative methods in medical studies and applied statistics. And when it comes to animation, he's the wiz.
Gabi has an MA in Media Studies and has worked at OsloMetX since its creation. Her official title is senior advisor, but she finds that a tad bland. She would rather say video or content producer and course creator.
Ingebjørg has an MA in Digital Learning Design, and has been with OsloMetX since 2021. Former school teacher, assistant principal and editor.
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 Norway (CC BY-NC-SA 3.0 NO) (CC BY-NC-SA 3.0). You are free to:
- copy and redistribute the material in any medium or format
- remix, transform and build upon the material
... under the following terms:
- You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- You may not use the material for commercial purposes.
- If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
At OsloMetX we continuously strive to make our publications more inclusive, by meeting the WCAG 2.1 guidelines. This is, however, a work in progress. We welcome comments and questions, so feel free to send us an e-mail: firstname.lastname@example.org.
felles statistikk anvendt forskning research