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.

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.

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)

• Required reading: Navarro Ch. 11

• Homework 7 is due November 24 9:00 PM

Lecture 8. One-way ANOVA (Csajbók)

• Required reading: Navarro Ch. 12

• Homework 8 is due December 1 9:00 PM

Lecture 9. Factorial ANOVA (Part 1) (Zakreski)

• Required reading: Navarro Ch. 13 (sections 13.1, 13.2, 13.3, 13.4)

• Homework 9 is due December 8 9:00 PM

Lecture 10. Factorial ANOVA (Part 2) and ANCOVA (Zakreski)

• Required reading: Navarro Ch. 13 (sections 13.5, 13.6, 13.7, 13.8, 13.9, 13.10, 13.11)

• Homework 10 is due December 15 9:00 PM

MIDTERM EXAM #2 (Zakreski + Csajbók)

• Covers Lecture 7, 8, 9, 10

FINAL EXAM (Zakreski + Csajbók)

• Covers all lectures

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)

• Required reading: Navarro Ch. 11

• Homework 7 is due November 24 9:00 PM

Lecture 8. One-way ANOVA (Csajbók)

• Required reading: Navarro Ch. 12

• Homework 8 is due December 1 9:00 PM

Lecture 9. Factorial ANOVA (Part 1) (Zakreski)

• Required reading: Navarro Ch. 13 (sections 13.1, 13.2, 13.3, 13.4)

• Homework 9 is due December 8 9:00 PM

Lecture 10. Factorial ANOVA (Part 2) and ANCOVA (Zakreski)

• Required reading: Navarro Ch. 13 (sections 13.5, 13.6, 13.7, 13.8, 13.9, 13.10, 13.11)

• Homework 10 is due December 15 9:00 PM

MIDTERM EXAM #2 (Zakreski + Csajbók)

• Covers Lecture 7, 8, 9, 10

FINAL EXAM (Zakreski + Csajbók)

• Covers all lectures

(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)

(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)

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

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

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/

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/