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

Prof. Hacer HARLAK

Assoc. Prof. Cennet ŞAFAK ÖZTÜRK

Assoc. Prof. Mehmet ŞAKİROĞLU

Lec. Ece SAĞEL ÇETİNER

Lec. Fatma Ebru KÖSE

Lec. Gözde SAYIN KARAKAŞ

Lec. Özge SARIOT ERTÜRK

Lec. Tolga KÖSKÜN

Res. Assist. Ayşe Vildan ACAR BAYRAKTAR

Res. Assist. Gamze KARADAYI KAYNAK

Statistics For Social Sciences I

Course Code	: PSİ207
Course Type	: Required
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

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

Objectives of the Course

The purpose of this course to provide students grasping the basic concept of statistics, deciding appropriate statistical analysis and ability of some statistical techniques.

Course Content

The basic concepts of statistics, central tendency (mean, standard deviation, variance , mode, median ) , dispersion ( frequency , standard normal distribution ) t distribution ; correlation ; regression

Name of Lecturer(s)

Assoc. Prof. Gökhan AKSU

Learning Outcomes

1.	Understanding the basic concept of statistics, and it’s place and the importance in scientific research.
2.	Recognition of basic statistical techniques as a concept and process.
3.	Applying corretly statistical techniques to psychological data.
4.	The ability of interpreting the results of statistical analysis applied.
5.	Expression of statistical analysis and results orally and in writing.

Recommended or Required Reading

1.	İstatistik, Larry J. Stephens , Murray R. Spiegel, Nobel Akademik Yayıncılık, 2013.
2.	Sosyal Bilimler İçin İstatistik, Şener Büyüköztürk, Nilgün Köklü, Ömay Çokluk-Bökeoğlu, Pegem Akademi Yayıncılık / Yayınevi Genel Dizisi, Ankara, 2010
3.	Sosyal Bilimler İçin Veri Analizi Elkitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum, Ş. Büyüköztürk, Pegem Akademi Yayıncılık, Ankara, 2002

Weekly Detailed Course Contents

Week 1 - Theoretical

Course introduction

Week 2 - Theoretical

Basic concepts

Week 3 - Theoretical

Organizing datasets

Week 4 - Theoretical

Frequency tables, frequency distributions, graphical representations of frequency distributions

Week 5 - Theoretical

Introduction to summed frequency distributions and measures of central tendency

Week 6 - Theoretical

Measures of central tendency 1

Week 7 - Theoretical

Measures of central tendency 2

Week 8 - Theoretical

Measures of variability 1

Week 9 - Theoretical

Measures of variability 2

Week 10 - Theoretical

Normal Distribution

Week 11 - Theoretical

Standard scores (T and Z)

Week 12 - Theoretical

Correlation (Pearson) analysis

Week 13 - Theoretical

Correlation (Spearman rho and other correlation coefficients)

Week 14 - Theoretical

Regression analysis

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	3	84
Midterm Examination	1	20	2	22
Final Examination	1	20	2	22
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	PÇ-11	PÇ-12	PÇ-13	PÇ-14
OÇ-1	2		2	1					3	2	5	2	2	3
OÇ-2	2		3	3					3	2	5			3
OÇ-3			2	2						4	5			3
OÇ-4				3					3	2	5	2	2	3
OÇ-5									5		5	2	2	3