PSYCHOLOGY
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
PSY2098	Statistical Methods and Applications II	Spring	2	2	3	6

Basic information

Language of instruction:	English
Type of course:	Must Course
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Assist. Prof. MUKADDER OKUYAN
Course Lecturer(s):	Assist. Prof. BAHAR TANYAŞ
Recommended Optional Program Components:	"."
Course Objectives:	The aim is to familiarize students with the concept of hypothesis testing in the behavioral sciences. T-statistics, analysis of variance, correlation, simple linear regression, and non-parametric tests are among the subjects addressed. Students will be required to choose appropriate statistical tests to analyze quantitative data, make computation-based decisions, interpret and report outcomes of statistical analyses.

Learning Outcomes

The students who have succeeded in this course;
1. Explain the importance of numerical analysis in quantitative psychological research and production of knowledge.
2. Discuss the basic rationale of hypothesis testing.
3. Apply and interpret the results of following statistical tests: t-tests, ANOVA, correlation, regression and non-parametric tests.
4. Identify appropriate statistical tests to use for a range of data sets.
5. Construct a conclusion using quantitative justification.
6. Use SPPS program for statistical calculations.
7. Explain differences between parametric and non-parametric tests, and when to use each.

Course Content

This course aims to teach the following statistical analyses: t-tests, ANOVA, correlations, regression, multiple regression. Teaching methods of the course are lecture, collaborative learning, reading, individual study, and problem solving.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Course One-sample T-test	Review Ch. 8 Read Ch. 9
2)	T-test for Independent Samples	Read Ch. 10
3)	T-test for Related Samples	Read Ch. 11
4)	One-way Analysis of Variance (ANOVA)	Read Ch. 12
5)	Repeated Measures of ANOVA	Read Ch. 13
6)	Two Factor Analysis of Variance (Factorial ANOVA)	Read Ch. 14
7)	Review	Review previous chapters
8)	1st MIDTERM
9)	Correlation	Read Ch. 15
10)	Simple Linear Regression	Read Ch. 16
11)	Multiple Regression	Read Ch. 16
12)	2nd MIDTERM	Review Ch. 15-16
13)	Chi-square	Read Ch. 17
14)	Other non-parametric Tests

Sources

Course Notes / Textbooks:	Please note that these are suggested readings (not required) You can use any book on statistics in social sciences and on SPSS use available in the library. Gravetter, F. J. & Wallnau, L. B. (2016). Statistics for the Behavioral Sciences. (10th edition). Belmont, CA: Wadsworth. Optional: Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics. SAGE.
References:

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Midterms	2	% 50
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	12	3	36
Laboratory	12	2	24
Study Hours Out of Class	12	2	24
Midterms	2	18	36
Final	1	30	30
Total Workload			150

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To develop an interest in the human mind and behavior, to be able to evaluate theories using empirical findings, to understand that psychology is an evidence-based science by acquiring critical thinking skills.	5
2)	To gain a biopsychosocial perspective on human behavior. To understand the biological, psychological, and social variables of behavior.
3)	To learn the basic concepts in psychology and the theoretical and practical approaches used to study them (e.g. basic observation and interview techniques).	4
4)	To acquire the methods and skills to access and write information using English as the dominant language in the psychological literature, to recognize and apply scientific research and data evaluation techniques (e.g. correlational, experimental, cross-sectional and longitudinal studies, case studies).	4
5)	To be against discrimination and prejudice; to have ethical concerns while working in research and practice areas.	1
6)	To recognize the main subfields of psychology (experimental, developmental, clinical, cognitive, social and industrial/organizational psychology) and their related fields of study and specialization.	1
7)	To acquire the skills necessary for analyzing, interpreting and presenting the findings as well as problem posing, hypothesizing and data collection, which are the basic elements of scientific studies.	5
8)	To gain the basic knowledge and skills necessary for psychological assessment and evaluation.	4
9)	To acquire basic knowledge of other disciplines (medicine, genetics, biology, economics, sociology, political science, communication, philosophy, anthropology, literature, law, art, etc.) that will contribute to psychology and to use this knowledge in the understanding and interpretation of psychological processes.
10)	To develop sensitivity towards social problems; to take responsibility in activities that benefit the field of psychology and society.	2
11)	To have problem solving skills and to be able to develop the necessary analytical approaches for this.	4
12)	To be able to criticize any subject in business and academic life and to be able to express their thoughts.	2