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Poslední úprava: Mgr. Ivan Petrúšek, Ph.D. (31.01.2023)
Students will learn and practice basic statistical methods by analyzing sociological survey data in a program called SPSS (Statistical Product and Service Solutions). As this is an introductory course, no previous knowledge of statistics is required. |
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Poslední úprava: Mgr. Ivan Petrúšek, Ph.D. (27.01.2021)
Mandatory: Field, A. (2009). Discovering Statistics Using SPSS. Third edition. London: Sage. (detailed reading assignment from the course textbook will be specified after each class; please view the files section of this course for the pdf of the textbook)
Recommended: Norušis,M., J. (2005).SPSS 13.0: statistical procedures companion. New Jersey: Prentice Hall. deVaus, D. (2002). Surveys in social research. London:Routledge - Taylor & Francis Group. Czech students: Mareš, Rabušic, Soukup. Analýza sociálněvědních dat (nejen) v SPSS. 2015. muniPRESS, Brno. (ch. 2 - ch. 10) |
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Poslední úprava: Mgr. Ivan Petrúšek, Ph.D. (31.01.2023)
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 SPSS environment. Institute of Sociological Studies will provide the enrolled students with the SPSS licence (so that they will have the software installed on their personal computers). The course will be taught in two parallel lectures: 1) Tuesday, 8 a.m., Pekařská building, room 308, also possible to enter online via ZOOM: https://cesnet.zoom.us/j/4677639176?pwd=dVAyWkJISGRrOGp2ZUJRc0I2Y3p2UT09 Meeting ID: 467 763 9176, Passcode: 355749 Materials (recordings, HW evaluation) are available through Google dics: https://drive.google.com/drive/folders/1YmsXRQLJm24E4p5IgHEzcYEqQcyViTuJ?usp=sharing
2) Tuesday, 11 a.m, Pekařská building, room 308 also possible to enter online via ZOOM: https://cuni-cz.zoom.us/j/7173160164 (Passcode: x2VC8r)
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Poslední úprava: Mgr. Ivan Petrúšek, Ph.D. (31.01.2023)
Grading will be based on homework assignments (7 mandatory assignments, each worth 5 points) and a final exam (worth 65 points). Students may earn up to 100 total points. Deadline for homework assignments: Monday (11:59 am) via email. 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). |
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Poslední úprava: Mgr. Ivan Petrúšek, Ph.D. (31.01.2023)
Course Schedule Week 1: Course overview. Introduction to SPSS environment. |