Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Statistics in Social Sciences

Course Code	: SBE506
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 5

Objectives of the Course

It is aimed to comprehend, apply and report statistical methods and applications in Social Sciences.

Course Content

Sampling, Hypothesis testing, correlation, regression, logistic regression, reliability types, validity types

Name of Lecturer(s)

Res. Assist. Alaattin ARIKAN

Learning Outcomes

1.	He can select and do the statistical analysis method.
2.	Know which one to use data collection tools.
3.	Uses SPSS package program
4.	Interpret the importance of analysis.
6.	Evaluate and report analyzes.

Recommended or Required Reading

1.	Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 139-177.
2.	Şener Büyüköztürk (2001). Deneysel Desenler. PegemA Yayıncılık. Ankara. 1-77.
3.	Eğitimde Ölçme ve Değerlendirme - Doç. Dr. Halil TEKİN
4.	Test Hazırlama Kılavuzu - Durmuş Ali Özçelik
5.	Sosyal Bilimler için Veri Analizi El Kitabı, Şener Büyüköztürk
6.	Assessing Science Understanding, J. J. Mintzes, J. H. Wandersee, J. D. Novak

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to the course: objectives, topics, tools, evaluation

Week 2 - Theoretical

Hypothesis tests: Parent mass, parameter, sample, sample account, Hypothesis, zero and alternative hypothesis,

Week 3 - Theoretical

Hypothesis testing: hypothesis testing, error concept, test statistic, significance level, hypothesis testing steps, assumptions

Week 4 - Theoretical

Data analysis: T-test types

Week 5 - Theoretical

SPSS application: T-test types

Week 6 - Theoretical

Data analysis: Non parametric tests

Week 7 - Theoretical

Data analysis: Non parametric tests

Week 8 - Theoretical

Data analysis: Correlation and regression

Week 9 - Theoretical

Mıdterm exam

Week 10 - Theoretical

SPSS application: Correlation and regression

Week 11 - Theoretical

Data analysis and SPSS application: Logistic regression

Week 12 - Theoretical

Types of reliability

Week 13 - Theoretical

Types of validity

Week 14 - Theoretical

Types of validity

Week 15 - Theoretical

FINAL

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	3	1	56
Lecture - Practice	10	2	2	40
Assignment	1	9	3	12
Midterm Examination	1	1	9	10
Final Examination	1	1	9	10
TOTAL WORKLOAD (hours)				128

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10
OÇ-1	4	4	3	3	4	3	3	4	4	4
OÇ-2	3	4	3	3	3	4	4	4	3	3
OÇ-3	4	4	4	4	3	3	3	3	3	3
OÇ-4	3	3	4	4	4	3	4	3	3	4
OÇ-6	3	3	4	4	4	3	3	3	4	4

Person Responsible for Information Package