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Introduction to Quantitative Methods in Social Sciences

Class at Faculty of Humanities |
YBAJ189

Syllabus

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

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.