Information Package / Course Catalogue - Adnan Menderes University

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

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Statistics For Social Sciences II

Course Code	: PSİ208
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

Providing students the ability of hypothesis testing process, learning statistical techniques used and learning how to apply based on data types.

Course Content

Hypothesis testing , statistical errors, confidence interval, Student's t test ; One-way analysis of variance, multivariate analysis of variance (ANOVA) ; Non-parametric statistics , chi-square

Name of Lecturer(s)

Assoc. Prof. Gökhan AKSU

Learning Outcomes

1.	Understanding the basic concepts of statistics in the field of psychology
2.	Knowing the way of hypothesis testing as a concept and process.
3.	Deciding the appropriate statistical techniques to data and applying.
4.	Expression of statistical analysis and its results orally and in writing
5.	Using statistics programs at a basic level.

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 Description: Scope, importance and rules.

Week 2 - Theoretical

Basic Concepts: Hypothesis testing, null hypothesis and alternative hypothesis, significance level.

Week 3 - Theoretical

Hypothesis testing and related concepts: probability, normal distribution, statistical power, Type 1 and Type 2 error

Week 4 - Theoretical

Confidence interval and confidence limits

Week 5 - Theoretical

t test – single sample t test - correlated/dependent samples

Week 6 - Theoretical

t test – independent samples

Week 7 - Theoretical

Effect size and statistical power

Week 8 - Theoretical

Introduction to analysis of variance

Week 9 - Theoretical

One-way analysis of variance

Week 10 - Theoretical

Factorial analysis of variance

Week 11 - Theoretical

Repeated measures and mixed analysis of variance

Week 12 - Theoretical

Introduction to non-parametric tests

Week 13 - Theoretical

Mann-Whitney U test and other non-parametric tests

Week 14 - Theoretical

Chi-square division and chi-square tests, chi-square fitness test

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					4	3	5			3
OÇ-2			2	2					3	3	5			3
OÇ-3			2	4					3	3	5			3
OÇ-4									5	4	5			3
OÇ-5			2								5

Person Responsible for Information Package