STATISTICS IN BEHAVIORAL SCIENCES II

PSİ212

Course Code: PSİ212
Semester: Fourth Term (Spring)
Theory+Practice: 3 + 2
ECTS: 5

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Fourth Term (Spring)

ECTS

Name of Lecturer(s)

Associate Professor Burcu Tekeş Tolungüç

Learning Outcomes

At the end of this course, the students;

Discuss psychological and social research based on numerical data.
Be able to evaluate statistical results of any given research reports.
Transfer probabilistic thinking skills to various problems.
Be able to apply statistical software programs and able to interpret data descriptively.
Evaluate statistical graphs properly.

Mode of Delivery

Face to face

Prerequisites

Yes(PSİ211)

Recommended Optional Programme Components

None

Course Description

This course is designed to teach students about the procedures of hypothesis testing. Subjects such as t-test, correlation, and analysis of variance are taught to enable students to determine which appropriate analyses are to be followed in order to solve statistical problems. Writing statistical results according to academic writing rules is one of the important topics discussed in the course.

Course Contents

WEEK	TOPICS
1^st Week	Introduction and PSİ211 Course Overview
2^nd Week	Correlation
3^rd Week	Simple linear regression
4^th Week	Multiple regression
5^th Week	Introduction to hypothesis testing: T-test
6^th Week	T-test
7^th Week	ANOVA (one-way/between subject)
8^th Week	Mid-term Exam
9^th Week	ANOVA (one-way/within subject)
10^th Week	ANOVA (two-way/between subject)
11^th Week	ANOVA (two-way/within subject)
12^th Week	Reliability-Validity
13^th Week	Non-parametric tests: Chi-square
14^th Week	Questions-answers
15^th Week	Overview

Recommended or Required Reading

Jamovi, J. N. & Foxcroft, D. R. (2018). Learning statistics with jamovi. Retrieved from
https://blog.jamovi.org/2018/10/25/learning-statistics-with-jamovi.html

Dancey, C. P., & Reidy, J. (2007). Statistics without maths for psychology. Pearson education.

Planned Learning Activities and Teaching Methods

Lecture
Questions/Answers
Practice
Other

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	6	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	1	1
Preparation for Quiz
Individual or group work	14	2	28
Preparation for Final exam	1	20	20
Course hours	15	3	45
Preparation for Midterm exam	1	10	10
Laboratory (including preparation)
Final exam	1	1	1
Homework	6	8	48
Total Work Load			153
Total Work Load / 30 (h)			5.1
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5
K1	X	X
K2
K3	X	X	X
K4	X	X	X
K5	X	X		X
K6	X	X		X
K7					X
K8					X
K9	X	X
K10
K11
K12			X
K13

	LO1	LO2	LO3	LO4	LO5
K1	X	X
K2
K3	X	X	X
K4	X	X	X
K5	X	X		X
K6	X	X		X
K7					X
K8					X
K9	X	X
K10
K11
K12			X
K13

	LO1	LO2	LO3	LO4	LO5
K1	X	X
K2
K3	X	X	X
K4	X	X	X
K5	X	X		X
K6	X	X		X
K7					X
K8					X
K9	X	X
K10
K11
K12			X
K13

	LO1	LO2	LO3	LO4	LO5
K1	X	X
K2
K3	X	X	X
K4	X	X	X
K5	X	X		X
K6	X	X		X
K7					X
K8					X
K9	X	X
K10
K11
K12			X
K13