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

General Information about the Course

Course Code: PSI108
Course Title: Statistics-II
Course Semester: 2. Semester / Spring
Course Credits:
Theoretical Practical Credit ECTS
2 2 3 4
Language of instruction: TR
Prerequisite of the course: No
Type of course: Necessary
Level of course:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Course Lecturer(s): Assoc.Prof.Sinan Zeyneloğlu

Purpose and content of the course

Course Objectives: Knowledge of main concepts of statistics and the practical ability to use these in the research process.
Course Objective: To learn the basic concepts related to statistics. To Interpret the tables and graphs obtained from collecting and organizing data. Assessing the relationship of two or more variables using multinomial logistic regression and other appropriate techniques.
Mode of Delivery: Face to face

Learning Outcomes

Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) • Students comprehend textbooks containing current information in the field of statistics, application tools and theoretical and practical knowledge supported by other sources. • Students organize, report and interpret data with tables and graphs. • Students have knowledge about basic probability distributions, make binomial and normal distribution applications and statistical estimation. • Students construct and test hypotheses and analyze data. • Students understand to determine the relationship between variables by applying correlation and regression analysis. • Students understand the methods of using computer in statistical analysis.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) • Students use the theoretical and practical knowledge acquired in the field of statistics. • Students interpret and evaluate the data by using the knowledge and skills acquired in the field of statistics. • Students transfer the information about the statistics to their employees and teammates. • Students use computer for statistical analysis. • Students use their obtained knowledge about statistics on their decisions, practices and behaviors and use this knowledge to interpret and analyze data. • Students use their gained knowledge in the field of statistics in their business life and own life. • Students carry their education to an advanced level.
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)
  1) Competence to Work Independently and to Take Responsibility • Students conduct research and studies in the field of statistics. • As a project manager or participant, students take responsibility in accordance with the project objectives. • Students use statistical methods in determining the goals and objectives for the organization / institution.
  2) Learning Competence • Students critically evaluate their acquired knowledge and skills. • Students understand the continuity of the need for learning. • Students apply theoretical gains that they have learned in the education process. • When students take part in the decision-making bodies of firms, they develop forward-looking strategies by using statistical analysis methods.
  3) Communication and Social Competence • Students transmit their thoughts and suggestions at the level of knowledge and skills in the field of statistics to the relevant people in written and oral form. • Students communicate effectively with stakeholders in the professional field.
  4) Ability to understand multivariable analysis and implement in research.

Course Topics

Week Subject
Related Preparation Pekiştirme
1) Introduction of the course content and the advanced concepts of statistics in social sciences.
2) Sampling, Data Compilation, Organization and Graphical Analysis.
3) Basic Probability Distributions.
4) Binominal Distribution.
5) Normal Distribution.
6) Parametric tests.
7) Non-parametrik tests.
8) Hypotesis Testing.
9) midterm
10) Lineer regression.
11) Lojistic regression.
12) ANOVA analysis of variance
13) Factor analysis
14) Correspondence analysis
References: DENNIS HOWITT & DUNCAN CRAMER. 2000. First Steps in Research and Statistics: A PRACTICAL WORKBOOK FOR PSYCHOLOGY STUDENTS. London: Routledge.

Ders - Program Öğrenme Kazanım İlişkisi

No Effect 1 Lowest 2 Average 3 Highest
       
Ders Öğrenme Kazanımları

1

2

3

4

5

6

Program Outcomes
1) Absorbs concepts related to all sub-fields of psychology (Clinical Psychology, Developmental Psychology, Industrial-Organizational Psychology, Health Psychology, Forensic Psychology, Learning Psychology, Social Psychology, Neuropsychology, Sports Psychology, etc.).
2) Explains the theories of psychology and human behavior based on theoretical foundations.
3) Explains the substructures of human and animal cognitive processes in the nervous system.
4) Conducts independent research within the framework of scientific principles.
5) Examines the emergence of psychology as a discipline, its development, and the process of decomposition into sub-fields in a historical perspective.
6) Applies the basic principles of psychological assessment.
7) Comprehends the cognitive, emotional and behavioral characteristics of people in working life.
8) Conducts scientific research for problems related to the subjects he/she is interested in.
9) Applies group dynamics and techniques that form the basis of the human-to-human communication process.
10) Learns contemporary information-processing and professional devices.
11) Evaluates human behavior in society in both ordinary and extraordinary situations.
12) Transforms the basic ethics, principles, values and rules of psychology into behavior.

Course Teaching, Learning Methods

Q & A
Case Problem Solving/ Drama- Role/ Case Management
Laboratory
Quantitative Problem Solving
Fieldwork
Group Study / Assignment
Individual Assignment
WEB-based Learning
Internship
Practice in Field
Project Preparation
Report Writing
Seminar
Supervision
Social Activity
Occupational Activity
Occupational Trip
Application (Modelling, Design, Model, Simulation, Experiment et.)
Reading
Thesis Preparation
Field Study
Student Club and Council Activities
Other
Logbook
Interview and Oral Conversation
Research
Watching a movie
Bibliography preparation
Oral, inscribed and visual knowledge production
Taking photographs
Sketching
Mapping and marking
Reading maps
Copying textures
Creating a library of materials
Presentation

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Practice Exam % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project % 0
Special Course Internship (Work Placement) % 0
Field Study % 0
Article Critical % 0
Article Writing % 0
Module Group Study % 0
Brainstorming % 0
Role Playing + Dramatizing % 0
Out of Class Study % 0
Preliminary Work, Reinforcement % 0
Application Repetition etc. % 0
Homework (reading, writing, watching movies, etc.) % 0
Project Preparation + Presentation % 0
Report Preparation + Presentation % 0
Presentation / Seminar Preparation + Presenting % 0
Oral examination % 0
Midterms 1 % 40
Final 1 % 60
Report Submission % 0
Bütünleme % 0
Kanaat Notu % 0
Committee % 0
Yazma Ödev Dosyası % 0
Portfolio % 0
Take-Home Exam % 0
Logbook % 0
Discussion % 0
Participation % 0
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Calculation of Workload and ECTS Credits

Activities Number of Activities Workload
Course Hours 13 40
Laboratory 12 12
Application
Practice Exam
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class
Article Critical
Article Writing
Module Group Study
Brainstorming
Role Playing + Dramatizing
Out-of-Class Study (Pre-study, Reinforcement, Practice Review, etc.)
Homework (reading, writing, watching movies, etc.)
Project Preparation + Presentation
Report Preparation + Presentation
Presentation / Seminar Preparation + Presenting
Oral examination
Preparing for Midterm Exams
MIDTERM EXAM (Visa) 1 4
Preparing for the General Exam
GENERAL EXAM (Final) 1 4
Participation
Discussion
Portfolio
Take-Home Exam
Logbook
Total Workload 60
ECTS (30 saat = 1 AKTS ) 2