BUSINESS MANAGEMENT MASTER'S PROGRAM (WITH THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

General Information about the Course

Course Code: ISL533
Course Title: Research Techniques in Social Sciences
Course Semester: 2. Semester / Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction: TR
Prerequisite of the course: No
Type of course: Necessary
Level of course:
Master TR-NQF-HE:7. Master`s Degree QF-EHEA:Second Cycle EQF-LLL:7. Master`s Degree
Course Lecturer(s): Dr.Öğr.Üyesi Esra BAL KÜLAHİ

Purpose and content of the course

Course Objectives: To explain the quantitative and qualitative research methods in social sciences.
Course Objective: With this course, the student learns which processes to go through in a scientific research process and has knowledge about quantitative and qualitative research methods.
Mode of Delivery: E-Learning

Learning Outcomes

Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) 1. Gains Knowledge about Data Collection Methods. 2. Gains Knowledge about Basic Research Methods Concepts. 3. Gains Knowledge about Hypothesis Development Methods. 4. Gains Knowledge About Theoretical Model Building Methods.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) 1. Uses Data Collection Methods in Social Sciences. 2. Uses Quantitative and Qualitative Study Methods. 3. Makes Scientific Research Design. 4. Conducts Literature Study
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) 1. Uses Data Collection Methods While Doing Scientific and Academic Research. 2. Develops Hypothesis by Establishing Relationship Between Research Variables. 3. Conducts Research and Takes Responsibility Based on Knowledge of Research Methods in the Field of Social Sciences.

Course Topics

Week Subject
Related Preparation Pekiştirme
1) SCIENCE and SCIENTIFIC RESEARCH
2) ETHICS IN SCIENTIFIC RESEARCH
3) DATA COLLECTION METHODS
4) DESCRIPTIVE STATISTICS AND FREQUENCY TABLES
5) THEORETICAL MODEL ESTABLISHMENT AND HYPOTHESIS DEVELOPMENT
6) SCALE and MEASUREMENT METHODS
7) RELIABILITY and VALIDITY
8) RESEARCH DESIGN and VALIDITY
9) BASIC TYPES OF FAULTS AND SAMPLING TECHNIQUES IN THE RESEARCH PROCESS
10) ONE-WAY ANALYSIS OF VARIANCE
11) EXPLANATORY FACTOR ANALYSIS
12) CORRELATION ANALYSIS
13) REGRESSION ANALYSIS
14) GENERAL EVALUATION
References: Prof. Dr. Özer Serper: Uygulamalı İstatistik I ve II
Joseph Hair Jr., William C. Black, Barry J. Babin, Rolph E. Anderson: Multivariate Data Analysis

Ders - Program Öğrenme Kazanım İlişkisi

No Effect 1 Lowest 2 Average 3 Highest
       
Ders Öğrenme Kazanımları

1

2

3

Program Outcomes
1) To be able to understand and apply professional, legal and ethical principles with a sense of social responsibility in the stages of collecting, interpreting, announcing and applying data related to the field.
2) To be able to understand and manage social and professional relationships.
3) To have advanced theoretical and applied knowledge through course materials and other scientific resources containing the most up-to-date information in the field of business administration, and thus to evaluate a business in its own environment.
4) To comprehend and analyze the basic concepts and functions of business administration at the level of expertise.
5) To be able to follow current and developing trends in business administration with professional English proficiency.
6) To be able to comprehend all aspects of the subjects related to the profession.
7) To be able to take responsibility as a team member in order to solve the problems encountered in practice.
8) To be able to think interdisciplinary and to perform effective teamwork.
9) To be able to plan and manage activities for the professional development of employees under his/her responsibility in professional activities and projects in his/her field.
10) To be able to determine the learning needs with the lifelong learning and self-learning skills gained and to carry out advanced studies to overcome these.
11) To be able to see business opportunities in the economy, to interpret and evaluate them correctly.
12) To be able to inform the relevant people and institutions on the issues related to the field; To be able to convey in writing and orally the solution proposals for the problems supported by qualitative and quantitative data.
13) To be able to use information and communication technologies at the level required by the field.
14) To be able to produce innovative and creative ideas and to put these ideas into practice.

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 14 42
Laboratory
Application 9 27
Practice Exam
Special Course Internship (Work Placement)
Field Work 3 6
Study Hours Out of Class
Article Critical 5 15
Article Writing
Module Group Study 5 15
Brainstorming 9 27
Role Playing + Dramatizing
Out-of-Class Study (Pre-study, Reinforcement, Practice Review, etc.)
Homework (reading, writing, watching movies, etc.) 5 15
Project Preparation + Presentation
Report Preparation + Presentation
Presentation / Seminar Preparation + Presenting
Oral examination
Preparing for Midterm Exams 4 12
MIDTERM EXAM (Visa) 1 3
Preparing for the General Exam 5 15
GENERAL EXAM (Final) 1 3
Participation
Discussion
Portfolio
Take-Home Exam
Logbook
Total Workload 180
ECTS (30 saat = 1 AKTS ) 6