DATA ANALYSIS IN SOCIAL SCIENCES I PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
PSY220	DATA ANALYSIS IN SOCIAL SCIENCES I	4	3	3	6

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. BÜLENT TANSEL
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to introduce students to the basic concepts of statistics in the context of social sciences.
Contents of the Course Unit:	Contents of the course include subjects such as Introduction to SPSS Program, Introduction to SPSS Program Menus, Data Coding, Descriptive Statistics, Reliability and Validity Analysis, t-test Analysis, ANOVA Analysis, Correlation Analysis, Partial Correlation Analysis, Multiple Regression Analysis, Progressive Regression Analysis, Parametric Tests, Reporting of Findings.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Interpret the statistical analysis carried out in SPSS program. (Bloom’s 2)
Develop the competence to read and interpret statistical tables. (Bloom’s 3)
Calculate statistical calculations mathematically correctly. (Bloom’s 3)
Apply the analyses in SPSS program. (Bloom’s 3)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Introducing SPSS Program	Lecture, Question and Answer, Exemplification, Demonstration
2	Literature review	Introducing SPSS Program Menus	Lecture, Question and Answer, Exemplification, Demonstration
3	Literature review	Coding data	Lecture, Question and Answer, Exemplification, Demonstration
4	Literature review	Descriptive statistics	Lecture, Question and Answer, Exemplification, Demonstration
5	Literature review	Reliability and Validity Analysis	Lecture, Question and Answer, Exemplification, Demonstration
6	Literature review	t-test Analysis	Lecture, Question and Answer, Exemplification, Demonstration
7	Literature review	ANOVA Analysis	Lecture, Question and Answer, Exemplification, Demonstration
8	-	MID-TERM EXAM	-
9	Literature review	Preparation for the midterm exam	Lecture, Question and Answer, Exemplification, Demonstration
10	Literature review	Correlation Analysis	Lecture, Question and Answer, Exemplification, Demonstration
11	Literature review	Partial correlation Analysis	Lecture, Question and Answer, Exemplification, Demonstration
12	Literature review	Multiple Regression Analysis	Lecture, Question and Answer, Exemplification, Demonstration
13	Literature review	Progressive Regression Analysis	Lecture, Question and Answer, Exemplification, Demonstration
14	Literature review	Parametric Tests	Lecture, Question and Answer, Exemplification, Demonstration
15	Literature review	Reporting the findings	Lecture, Question and Answer, Exemplification, Demonstration
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics: North American Edition. SAGE.
Gravetter, F. J., & Wallnau, L. B. (2016). Statistics for the behavioral sciences. Cengage Learning.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use information sources, including the most effective methods and current information related to psychology and auxiliary disciplines at a high level. (Bloom 3)						5
2	Identify problems in psychology and produce solutions. (Blooms 3)		1

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Distinguish normal and abnormal behaviors. (Blooms 2)	0
2	Interpret and report psychology research. (Bloom 3)	0

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Establish connections between psychology and other social sciences. (Bloom 4)						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply psychological tests. (Bloom 3).	0
2	Gain knowledge and skills about contemporary psychology theories and integrate this knowledge and skills to help individuals. (Bloom 6)						5
3	Conduct various experiments in the field of psychology. (Bloom 6)						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Collaborate with the necessary institutions and individuals in the field studies. (6)					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate developments in psychology with existing knowledge. (Blooms 6)	0
2	Scientifically analyze human behavior. (Bloom 4)	0

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Express his/her knowledge and thoughts about the field in a fluent and understandable manner both written and verbally. (Bloom 2)		1
2	Recognize the individual, national and universal influences of problems in the field of psychology	0

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate the knowledge of computer software, hardware and statistics required by the field of psychology. (blooms 6)						5
2	Survey the developments in information and communication technologies. (Bloom 4)					4
3	Support social projects related to psychology. (Blooms 5)	0

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	4	52
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	30	30
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	25	25
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	31	0	151