DATA ANALYSIS IN SOCIAL SCIENCES II PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
PSI441	DATA ANALYSIS IN SOCIAL SCIENCES II	7	3	3	7

GENERAL INFORMATION
Language of Instruction :	Turkish
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	Assist.Prof. CAN BURAK NALBANTOĞLU
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to provide the students with the competence in using, interpreting and reporting statistical methods used in social sciences.
Contents of the Course Unit:	Contents of the course include subjects such as 'the comparison of two or more group means, non-parametric tests, correlation analysis, regression analysis, covariance and multivariate analysis, factor analysis and categorical data analysis.'

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Select the correct statistical analysis to be carried out in a scientific research process. (Bloom’s 1)
Interpret the statistical methods used in the scientific publication. (Bloom's 2)
Use SPSS program and the necessary statistical methods, and analyze data. (Bloom’s 4)
Evaluate the results of data analysis. (Bloom's 5)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	SUMMARIZING THE DATA	Lecture, Question and Answer, Exemplification, Demonstration
2	Literature review	COMPARISON OF TWO MEANS	Lecture, Question and Answer, Exemplification, Demonstration
3	Literature review	COMPARISON OF MEANS MORE THAN TWO	Lecture, Question and Answer, Exemplification, Demonstration
4	Literature review	NON-PARAMETRIC MODELS	Lecture, Question and Answer, Exemplification, Demonstration
5	Literature review	CORRELATION ANALYSIS	Lecture, Question and Answer, Exemplification, Demonstration
6	Literature review	CATEGORIC DATA	Lecture, Question and Answer, Exemplification, Demonstration
7	Literature review	REGRESSION ANALYSIS	Lecture, Question and Answer, Exemplification, Demonstration
8	-	MID-TERM EXAM	-
9	Literature review	REGRESSION ANALYSIS	Lecture, Question and Answer, Exemplification, Demonstration
10	Literature review	COVARIANCE ANALYSIS (ANCOVA)	Lecture, Question and Answer, Exemplification, Demonstration
11	Literature review	MULTIVARIANCE ANALYSIS (MANOVA)	Lecture, Question and Answer, Exemplification, Demonstration
12	Literature review	FACTORIAL ANALYSIS	Lecture, Question and Answer, Exemplification, Demonstration
13	Literature review	P VALUE (NHST) AND EFFECT POWER	Lecture, Question and Answer, Exemplification, Demonstration
14	Literature review	Reporting the findings	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. (2013). Discovering statistics using IBM SPSS statistics. 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 knowledge sources consisting of the most effective methods and up-to-date information, implementation of tools and materials about psychology and supporting disciplinaries. (Blooms 3)					4
2	Determine problems in the field of psychology and solve them. (Blooms 3)			2

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Discriminate between normal and abnormal behaviours. (Blooms 2)	0
2	Interpret psychology researches and report on them. (Blooms 3)	0

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate between psychology and other social sciences on relations. (Blooms 4)						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply psychological tests. (Blooms 3)	0
2	Integrate knowledge and skills gained on the theories of contemporary psychology in the phases of helping individuals. (Blooms 6)					4
3	Conduct several experiments in the field of psychology. (Blooms 6)					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Collaborate with relevant organizations and individuals on the field studies. (Blooms 6)				3

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate developments in the field of psychology to the existing knowledge. (Blooms 6)					4
2	Scientifically analyse human behaviours. (Blooms 4)					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Explain knowledge and ideas gained in the field fluently and apprehensibly in a written way and verbally. (Blooms 2)	0
2	Recognize individual, national and universal effects of problems in the field of psychology. (Blooms 2)			2

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Integrate computer software and hardware and statistics in the field of psychology to their studies. (Blooms 6)						5
2	Survey developments in informatics and communication technologies. (Blooms 4)					4
3	Support social projects in the field of psychology. (Blooms 5)			2

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	7	91
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	25	25
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	20	20
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	31	0	180