SubjectsSubjects(version: 964)
Course, academic year 2024/2025
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Introduction to Quantitative Methods in Social Sciences - YBAJ189
Title: Introduction to Quantitative Methods in Social Sciences
Guaranteed by: Programme Liberal Arts and Humanities (24-SHVAJ)
Faculty: Faculty of Humanities
Actual: from 2024
Semester: winter
E-Credits: 4
Examination process: winter s.:
Hours per week, examination: winter s.:0/2, MC [HT]
Capacity: unknown / 20 (20)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Ellen Zakreski, Ph.D.
Zsófia Csajbók, M.A., Ph.D.
Teacher(s): Zsófia Csajbók, M.A., Ph.D.
Ellen Zakreski, Ph.D.
Class: Courses available to incoming students
Annotation -
The course will provide a step-by-step introduction to fundamentals of quantitative research methodology and data analysis. It will introduce you to statistical thinking, interpreting and reporting results from statistical analyses, and will provide hands-on learning activities using a free easy-to-use statistics software (JASP). The course will be especially beneficial to students who are interested in psychology and sociology.
Last update: Csajbók Zsófia, M.A., Ph.D. (06.09.2023)
Course completion requirements -

(1) Attendance and participation in the seminar (maximum 3 missed classes)

(2) Completion of weekly homework assignments (including required readings)

(3) Midterm exam (in-class, multiple choice and short answer)

(4) Final exam (in-class, multiple choice and short answer)

Last update: Zakreski Ellen, Ph.D. (05.09.2023)
Syllabus -

1.10.2024 Seminar 1. Course overview and review of research designs (Csajbók)

-        Required reading: Navarro Ch. 1, 2

-        You must install JASP on your computer and have it ready for next class

-        Homework 1 is due October 4 12:00 PM

8.10.2024 Seminar 2. Organizing research data and introduction to JASP & Describing distribution (Csajbók)

-        Required reading: Navarro Ch. 3, 4, 5

-        Homework 2 is due October 11 12:00 PM

15.10.2024 Seminar 3. Probability and estimation of population parameters (Csajbók)

-        Required reading: Navarro Ch. 6, 7

-        Homework 3 is due October 18 12:00 PM

22.10.2024 Seminar 4. Hypothesis testing (Csajbók)

-        Required reading: Navarro Ch. 8

-        Homework 4 is due October 25 12:00 PM

29.10.2024 Seminar 5. Categorical data analysis (Csajbók)

-        Required reading: Navarro Ch. 9

-        Homework 5 is due November 1 12:00 PM

5.11.2024 Seminar 6. Comparing two means (Zakreski)

-        Required reading: Navarro Ch. 10

-        Homework 6 is due November 8 12:00 PM

12.11.2024 MIDTERM TEST #1 (Zakreski + Csajbók)

-        Covers Seminars 1, 2, 3, 4, 5, 6

19.11.2024 Seminar 7. Correlation and linear regression part 1. (Zakreski)

-        Required reading: Navarro Ch. 11

-        Homework 7 is due November 22 12:00 PM

26.11.2024 Seminar 8. Correlation and regression part 2. (Zakreski)

-        Required reading: Navarro Ch. 11

-        Homework 8 is due November 29 12:00 PM

3.12.2024 Seminar 9. One-way ANOVA (Zakreski)

-        Required reading: Navarro Ch. 12

-        Homework 9 is due December 6 12:00 PM

10.12.2024 Seminar 10. Factorial ANOVA - interaction (Zakreski)

-        Required reading: Navarro Ch. 13

-        Homework 10 is due December 13 12:00 PM

17.12.2024 MIDTERM TEST #2 (Zakreski + Csajbók)

-        Covers Seminars 7, 8, 9, 10

7.1.2025 FINAL TEST (Zakreski + Csajbók)

-        Covers all seminars

 

Last update: Csajbók Zsófia, M.A., Ph.D. (29.08.2024)
Learning resources -

Navarro, D., Foxcroft, D., & Faulkenberry, T. J. (2019). Learning Statistics with JASP:A Tutorial for Psychology Students and Other Beginners

Moodle: https://dl1.cuni.cz/course/view.php?id=16410

Last update: Csajbók Zsófia, M.A., Ph.D. (01.10.2024)
Entry requirements -

The course will be easier for students from 2nd year of study, and for those, who already completed the Proseminar.

It is recommended to complete the course YBA276 Introduction to Research Methods in Social Sciences before subscribing to this one, but it is not required.

Each student must be able to work on a notebook with installed up-to-date version of JASP software. Free download is available here: https://jasp-stats.org/download/

Last update: Urban Marek, PhDr., Ph.D. (31.10.2022)
 
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