Psychology (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

PSY022

Course Name:

Advanced Statistics

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. EMRE ÜNVER

Course Lecturer(s):

Asst. Prof. Halil Duzcu

Course Assistants:

Course Objective and Content

Course Objectives:	The course aims to improve the basic and advanced statistical analysis methods that could be used in conducting a psychological scientific research, interpretation and reporting of the findings obtained from the analyzes, data entry on SPSS, and the knowledge and skills to conduct the analysis.
Course Content:	Reading and managing the data, multivariate regression, analysis of variance models (ANOVA, ANCOVA, MANOVA, MANCOVA), explatory and confirmatory factor analysis and introduction to structural equation modelling.

Learning Outcomes

The students who have succeeded in this course;
1) Knows the basic principles of scientific research and experimental design.
2) Understands the basic definitions and uses of descriptive and inferential statistics
3) Executes the basic and advanced statistical analyses on the SPSS
4) Explains the findings of the basic and advanced statistical test.
5) Reports the results of statistical analysis.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to Advanced Statistics: The Basic Principles of Conducting Scientific Research
2)	Data Entry in SPSS: The Data Editor Window, Defining a variable in SPSS, Entering Data, Saving a Data File, Opening a Data File, Data Entry and Exercises, Descriptive Statistics
3)	Data Handling and Useful Functions in SPSS: An Introduction to Data Handling, Sorting a File, Splitting a File, Selecting Cases, Recoding Values, Computing New Variables, Counting Values, Ranking Cases
4)	Three Tests of Difference for Two Sample Designs: An Introduction to t-test- The Independent t-test, The Paired t-test; An Introduction to the Nonparametric Equivalents of the t-test- The Mann-Whitney Test, The Wilcoxon Test
5)	Tests of Correlation: An Introduction to Tests of Correlation, Descriptive Statistics in Correlation, Pearson's r: Parametric Test of Correlation, Spearman's rho: Nonparametric Test of Correlation
6)	Test of Nominal Data: Chi-Square Test Versus the Chi-Square Distribution
7)	Analyisis of Variance : An Introduction to Analysis of Variance (ANOVA), One-Way Between-Subjects ANOVA Two-Way Between-Subjects ANOVA Planned and Unplanned Comparisons
8)	Mid-Term Exam
9)	Analysis of Variance 2: One-way within Subjects ANOVA, Two-way within Subjects ANOVA, Mixed ANOVA
10)	Nonparametric Equivalents to ANOVA: Kruskal-Wallis and Friedman
11)	Analysis of Covariance and Multivariate Analysis of Variance: An Introduction to Analysis of Covariance (ANCOVA), Performing Analysis of Covariance on SPSS, An Introduction to Multivariate Analysis of Variance (MANOVA), Performing Multivariate Analysis of Variance on SPSS
12)	Multiple Regression: An Introduction to Multiple Regression and Performing a Multiple Regression on SPSS
13)	Logistic Regression: An Introduction to Logistic Regression and Performing Logistic Regression on SPSS
14)	Factor Analyisis: An Introduction to Factor Analysis and Performing a Basic Factor Analysis on SPSS
15)	Final Exam

Sources

Course Notes / Textbooks:	SPSS for Psychologists: A Guide to Data Analysis Using SPSS for Windows- Nicola Brace, Richard Kemp and Rosemary Snelgar, Palgrave Macmillan. SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi-Julia Pallant (Çevirenler: Sibel Balcı, Berat Ahi), (2017, 2. Basım), Anı Yayınları.
References:	SPSS Kullanma Kılavuzu: SPSS ile Adım Adım Veri Analizi-Julia Pallant (Çevirenler: Sibel Balcı, Berat Ahi), (2017, 2. Basım), Anı Yayınları.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Have the theoretical knowledge related to major sub areas of psychology.	3	3		2	2
2) Apply psychological concepts and theories in a variety of applied settings.		1	3		2
3) Define and explain the cognitive, emotional and behavioral processes of human beings.
4) Evaluate psychological evidence and assumptions in a scientific and critical way.	1			2	2
5) Collect and analyze psychological research data and interpret and report the findings in accordance to scientific publication rules.		3	3	3	3
6) Develop and utilize assessment and measurement tools for psychological phenomena.			1
7) Have the skills and abilities to follow innovations and developments in psyhology and other related sciences.				1	1
8) Have knowledge and skills to work effectively on individual or group basis.			2	2	3
9) Have knowledge and skills to communicate in a clear and effective manner in national and international settings.
10) Behave in accordance with professional code of conduct and ethics related to psychology.	1	1	3		3
11) Behave in an unprejudiced and equal way towards various identity groups such as age, gender, language, race, religion and social class in scientific and professional acitivities.					1
12) Have respect for universal values and human and animal rights.	2				2
13) Use a foreign language at least B1 level of European Language Portfolio.	3	3	3	3	3
14) Use computer softwares as well as information and communication technologies at least Basic level of European Computer Driving Licence.			3	1	1

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the theoretical knowledge related to major sub areas of psychology.	3
2)	Apply psychological concepts and theories in a variety of applied settings.	3
3)	Define and explain the cognitive, emotional and behavioral processes of human beings.	1
4)	Evaluate psychological evidence and assumptions in a scientific and critical way.	2
5)	Collect and analyze psychological research data and interpret and report the findings in accordance to scientific publication rules.	3
6)	Develop and utilize assessment and measurement tools for psychological phenomena.	1
7)	Have the skills and abilities to follow innovations and developments in psyhology and other related sciences.	1
8)	Have knowledge and skills to work effectively on individual or group basis.	2
9)	Have knowledge and skills to communicate in a clear and effective manner in national and international settings.	1
10)	Behave in accordance with professional code of conduct and ethics related to psychology.	3
11)	Behave in an unprejudiced and equal way towards various identity groups such as age, gender, language, race, religion and social class in scientific and professional acitivities.	1
12)	Have respect for universal values and human and animal rights.	1
13)	Use a foreign language at least B1 level of European Language Portfolio.	3
14)	Use computer softwares as well as information and communication technologies at least Basic level of European Computer Driving Licence.	2

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	13	39
Midterms	1	36
Final	1	50
Total Workload		125