Statistics VI (Seminar on Statistical Analyses of Psychological Research Data) (B-KUL-P0Q01A)
Aims
After completing this OPO, the student:
- is able to explain the breadth and the causes of the reproducibility crisis in psychology and other sciences.
- is able to identify responsible and questionable research practices.
- is able to apply the discussed statistical methods and to interpret the results.
- is able to understand and interpret simulation studies and is able to set up small simulation studies themselves.
- is able to critically evaluate the statistical methods and results in published scientific papers.
- is aware of the inevitable degree of arbitrariness and subjective judgment involved in scientific research.
- is able to point to the limitations of classical and Bayesian statistical methods.
- is able to clearly present the results of his analysis to his fellow students.
Previous knowledge
The course requires knowledge of descriptive and inductive statistics, basic Bayesian statistics, linear regression and analysis of variance and R.
Order of Enrolment
Mixed prerequisite:
You may only take this course if you comply with the prerequisites. Prerequisites can be strict or flexible, or can imply simultaneity. A degree level can be also be a prerequisite.
Explanation:
STRICT: You may only take this course if you have passed or applied tolerance for the courses for which this condition is set.
FLEXIBLE: You may only take this course if you have previously taken the courses for which this condition is set.
SIMULTANEOUS: You may only take this course if you also take the courses for which this condition is set (or have taken them previously).
DEGREE: You may only take this course if you have obtained this degree level.
SIMULTANEOUS( P0Q00A )
The codes of the course units mentioned above correspond to the following course descriptions:
P0Q00A : Statistics V (Advanced Statistical Methods for Psychological Research Data)
Is included in these courses of study
- Master of Statistics and Data Science (on campus) (Leuven) (Statistics and Data Science for Social, Behavioral and Educational Sciences) 120 ects.
- Master of Psychology: Theory and Research (Leuven) 120 ects.
- Master in de psychologie (Leuven) (Afstudeerrichting theorie en onderzoek) 120 ects.
- Master in de psychologie: afstudeerrichting Theorie en onderzoek (Leuven) (Afstudeerrichting theorie en onderzoek) 60 ects.
Activities
4 ects. Statistics VI (Seminar on Statistical Analyses of Psychological Research Data) (B-KUL-P0Q01a)
Content
The broad topic of the course is responsible research practices. Because of the fast developing pace of (the availability of) new responsible research practices, the exact topics to be discussed are not written in stone. Possible topics include, but are not limited to, open science, replication, pre-registration, reproducibility, statcheck, GRIM, multiverse analysis, p-hacking, equivalence testing, R Markdown, tidyverse, meta-analytic thinking, statistical power, design optimization, reliability, severe testing, theory development and appraisal, cross validation, and the Bayes factor. Some of these topics are introduced using lectures, others by means of self-study exercises using R, including simulation studies.
During the semester, the students will give short individual presentations. More detailed information about this assignment will be given in a separate document.
Course material
- Slides
- Lectures
- Articles and chapters from textbooks
- R code
- Shiny apps
- Toledo / e-platform
- Syllabus
Format: more information
The course consists of (web) lectures, self-study exercises and student presentations.
Evaluation
Evaluation: Statistics VI (Seminar on Statistical Analyses of Psychological Research Data) (B-KUL-P2Q01a)
Explanation
- The evaluation is based on an assignment and on a written, closed book exam.
- The assignment is an oral presentation of your work, which will be scheduled somewhere during the second semester. The presentation dates (and the associated deadline for the submission of the presentation material) will be communicated in a separate document. Failing to participate in the assignment automatically leads to NA and a grade of 0 for the assignment . You are expected to attend the presentations of the other students. Failing to present or failing to attend will lead to NA and a grade of 0 for the assignment (only a medical certificate or a motivation through the "ombuds"-service will be accepted). The schedule of the presentations will be given at the start of the course; please keep this in mind while planning your other activities during the semester.
- The assignment will be graded on 3 points and the exam will be graded on 17 points.
Information about retaking exams
The assignment cannot be retaken: the grade obtained at the first exam opportunity for the assignment will be transferred to the third exam period.
The exam can be retaken in the third exam period. The exam for the second exam opportunity is of the same format as the exam during the first exam opportunity.