|
|
|
||
Last update: PhDr. Ing. Petr Soukup, Ph.D. (19.02.2024)
All materials for the course will be availasble in SIS or Google disc: https://drive.google.com/drive/folders/1u4wWngIPUR-Vf02dNQM-ctTIZ7WwAyPp?usp=sharing This is a mandatory course for students of Politics, Philosophy and Economics programme. Students will learn and practice basic statistical methods by analyzing sociological survey data in a program called jamovi (freeware). As this is an introductory course, no previous knowledge of statistics is required. Lecture is available also via MS Teams:https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTMwOWUyNWEtYWQ0OC00OTJhLWFiYjUtYjM4NzYzZTcyNDNj%40thread.v2/0?context=%7b%22Tid%22%3a%2273844aaf-f10c-4dee-aaaf-5eeb27962a5d%22%2c%22Oid%22%3a%2244019797-e6cf-458d-996e-9e9b298c7895%22%7d |
|
||
Last update: PhDr. Ing. Petr Soukup, Ph.D. (18.09.2023)
Grading will be based on homework assignments (6 mandatory assignments, each worth 5 points) and a final exam (worth 70 points). Students may earn up to 100 total points. Deadline for homework assignments: Monday (11:59 am) via email (assignments are submitted to Petr Soukup at: petr.soukup@fsv.cuni.cz). In other words, students will have eight days to prepare and submit their homework assignments. Grading:
NOTE: Total points earned will be rounded to the whole number (e. g. the overall result of 50.5 points is rounded to 51 points and corresponds to the grade E). |
|
||
Last update: PhDr. Ing. Petr Soukup, Ph.D. (18.09.2023)
Mandatory: https://www.learnstatswithjamovi.com/ Recommended: deVaus, D. (2002). Surveys in social research. London:Routledge - Taylor & Francis Group. |
|
||
Last update: PhDr. Ing. Petr Soukup, Ph.D. (05.10.2023)
The classes are a combination of lectures and seminars. The first part of each class (approx. 40 minutes) is a lecture during which the tutor introduces key concepts in statistical theory and methods of data analysis (see syllabus below). The second part (approx. 40 minutes) is a seminar where students apply the methods introduced during the lecture in the jamovi environment. This freeware can be dowloaded at: https://www.jamovi.org/download.html The course will be taught in PC lab 229. You can use your own computers as well. Link for MS Teams: https://teams.microsoft.com/l/meetup-join/19%3ameeting_OGQxNjUwOWYtMTRiZS00NjFjLThkMDktNjUyYWRhZGQ2NDk0%40thread.v2/0?context=%7b%22Tid%22%3a%2273844aaf-f10c-4dee-aaaf-5eeb27962a5d%22%2c%22Oid%22%3a%2244019797-e6cf-458d-996e-9e9b298c7895%22%7d
|
|
||
Last update: PhDr. Ing. Petr Soukup, Ph.D. (18.09.2023)
Course Schedule Week 1: Course overview. Introduction to jamovi environment. Week 2: Data matrix. Data preparattion (recode, compute). Assigning of labels to variables. |