Lectures and seminars I think statistics is difficult - A workshop series for you who are struggling with understanding statistics
Doctoral students struggling with statistics, don't miss this! Join a unique digital workshop series with Assoc. Prof. Per Palmgren, starting 25th Oct, held in English for the first time. This series, organized within PUF-V, complements established statistics courses, targeting those seeking a more conceptual, applied understanding of the subject. Ideal for students with basic statistics knowledge, it offers an in-depth, accessible exploration of challenging concepts. Note: No formal prerequisit
Register at the following link: https://forms.office.com/e/ywp24YE4kB
Aim of the workshop
The workshop series is aimed at doctoral students who find statistics difficult, and the aim is to:
- create the opportunity to develop basic knowledge in statistics to be able to carry out common statistical analyses.
- develop the skills required to carry out relevant analyzes using the statistical software JASP (open-source software from the University of Amsterdam).
- be able to adequately interpret the results.
Learning outcomes of the activity
After completing the workshop series, the doctoral student should be able to:
- discuss common statistical concepts and explain their meaning,
- choose appropriate descriptive statistics and graphical presentation of results,
- understand the meaning of and be able to perform hypothesis testing,
- choose the appropriate statistical inferential method based on test assumptions as well as variable and scale types, and
- perform common statistical calculations in JASP software.
In the workshop series we take a conceptual and applied approach in the statistics program JASP.
The workshop series is divided into five modules:
1. Being able to "see" my data - descriptive statistics and data integrity. In this module, data import, coding, and usual descriptive statistics as well as exploratory data analysis regarding basic statistical assumptions are trained.
2. To investigate differences with a focus on the T. During the module we practice using three types of t-tests: one-tailed t-test, independent t-test and paired t-test.
3. When two becomes more. In this third module, ANOVA and Repeated measures-ANOVA are dealt with, which are the natural continuation of t-tests, thus, comparison of differences in group means.
4. To investigate relationships and to be able to predict. Within this module we practice exploring correlations and exercise performing simple and multiple linear regression.
5. When we don't have means. In this final module, we focus on skills to use non-parametric statistical methods such as Chi-two test, binomial test and Mann-Whitney and Wilcoxon signed-rank test.
Form of teaching
The workshop series employ a "blended learning" approach nature the participant first independently takes part in a pre-recorded video lecture to establish a common basis and which is then followed by five digital on-line labs in a workshop format. For participation, you must download the statistics program JASP (open-source program from the University of Amsterdam) before the meetings. The JASP program is available via KI's Software Center.
During the workshop series, the participants meet digitally via Zoom one occasion between 09:00-12:00 and four occasions between 13:00-16:00.
7/11 kl. 13-16
8/11 kl. 13-16
10/11 kl. 9-12
14/11 kl. 13-16
15/11 kl. 13-16
The workshop series is better suited for doctoral students who already have little prior understanding of the subject by, for example, having completed a basic course in statistics. It is desirable to participate in all five modules. The workshop series is NOT suitable for those students who find the basics boring, want equations and/or the mathematical explanations.
The series is held in English with a minimum of 10 and a maximum of 20 doctoral students and is led by associate professor Per Palmgren from the department of learning, informatics, management and ethics (LIME).