Statistics 101 Reconsidered
Date: Thursdays 15:30-18:30.
Venue: Izu 405
The course reviews common analysis methods used in cognitive research, including general analysis methods and mathematical and statistical analyses. It primarily discusses topics relevant to cognitive research and highlights several debated and misunderstood points.
Software solutions
Methodological vs. statistical approach
Diffusion model analysis (slides)
Reliability (slides)
Hypothesis tests
Descriptives
The following three requirements should be fulfilled.
Written exams.
Some of them include mainly practical tasks, while others focus more on theoretical questions. Mostly 30-45 minutes to answer the questions. The exam will be announced at least two weeks in advance.
Choose one of the topics below. The deadline for sending the project report is the date of the last lecture (May 14). (The topics should be approved; the deadline is 5 March.)
Create a new or extend an existing Wikipedia article in English or Hungarian on statistics or data analysis topics (e.g., statisztika téma). You can translate the article from another language if the source language includes high-quality material. The minimum length is 6000 characters (with spaces) for new material or extensions and 8000 characters for translations.
For Hungarian speakers, some more details for the work and a few previous examples: leírás
Review related tasks: (0) Within a week after the topic choice deadline, add your topic to this list. Ask for permission, which I'll approve automatically. After each topic is added to the list, add your name as a reviewer for another topic. (1) After completing your article, you should send it to another student (reviewer) so they can add comments and suggestions. The deadline is 10 days before the final deadline (May 4). (2) Your peer will review the text and return it to you. The deadline is 5 days before the final deadline (May 9). (3) Finalize your article, then send me your final version, your peer's comments, and the version you sent to your peer.
(Only in Hungarian) Új szócikk készítése vagy kiegészítése a Statisztika a pszichológiai kutatásban weboldalra. Legkevesebb 5000 karakter szóközzel.
CogStat (choose one from the list below)
Localize it to a new language or improve and/or extend previous localizations.
Propose new procedures with appropriate justifications.
An empirical test of the efficiency of various statistical software types
Analyze your previous results in some non-traditional and/or advanced way.
Contact me about the chosen topic and methods.
Implementing extra statistical or data analysis functions for LibreOffice. (This could be implemented as a Basic script or a spreadsheet template.)
If you have any further ideas related to the course topics that could be useful for you and/or others, contact me.
Micro-oral report about the chosen task. In the last lecture (May 14).
In a maximum of 5 minutes, summarize the most unexpected details of your work. Slides are optional.
Exam link (intentionally not available at the moment)
AI use-related regulations: More details will be available in a few days.
Books for general statistical materials
Danielle J. Navarro / David R. Foxcroft / Thomas J. Faulkenberry / Róbert Fodor: Learning statistics with R / jamovi / JASP / CogStat
Russell Poldrack: Statistical Thinking for the 21st Century
Andy Field, (Jeremy Miles, Zoe Field): Discovering Statistics Using SPSS / R / SAS. Sage.
Matthew J. C. Crump, Anjali Krishnan, Stephen Volz, and Alla Chavarga (2018). Answering questions with data: Lab Manual and the CogStat version: Evelin Haász (2024). Answering Questions with Data in CogStat
More statistics and data analysis textbooks at the Open Textbook Library and LibreTexts