Last update: Zsófia Csajbók, M.A., Ph.D. (06.09.2023)
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: Zsófia Csajbók, M.A., Ph.D. (06.09.2023)
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.
Syllabus -
Last update: Ellen Zakreski, Ph.D. (05.09.2023)
Lecture 1. Course overview and review of research designs (Zakreski + 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 6 9:00 PM
Lecture 2. Organizing research data and introduction to JASP (Zakreski)
Required reading: Navarro Ch. 3
Homework 2 is due October 13 9:00 PM
Lecture 3. Describing distributions (Csajbók)
Required reading: Navarro Ch. 4, 5
Homework 3 is due October 20 9:00 PM
Lecture 4. Probability and estimation of population parameters (Zakreski)
Required reading: Navarro Ch. 6, 7
Homework 4 is due October 27 9:00 PM
Lecture 5. Hypothesis testing and categorical data analysis (Zakreski)
Required reading: Navarro Ch. 8, 9
Homework 5 is due November 3 9:00 PM
Lecture 6. Comparing two means (Csajbók)
Required reading: Navarro Ch. 10
Homework 6 is due November 10 9:00 PM
MIDTERM EXAM #1 (Zakreski + Csajbók)
Covers Lectures 1, 2, 3, 4, 5, 6
Lecture 7. Correlation and linear regression (Zakreski)
(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: Zsófia Csajbók, M.A., Ph.D. (06.09.2023)
(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)
Learning resources -
Last update: Ellen Zakreski, Ph.D. (05.09.2023)
Navarro, D., Foxcroft, D., & Faulkenberry, T. J. (2019). Learning Statistics with JASP:A Tutorial for Psychology Students and Other Beginners
Last update: Ellen Zakreski, Ph.D. (05.09.2023)
Navarro, D., Foxcroft, D., & Faulkenberry, T. J. (2019). Learning Statistics with JASP:A Tutorial for Psychology Students and Other Beginners
Entry requirements -
Last update: PhDr. Marek Urban, Ph.D. (31.10.2022)
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: PhDr. Marek Urban, Ph.D. (31.10.2022)
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/