COURSE UNIT TITLE

: RESEARCH METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TKY 5041 RESEARCH METHODS COMPULSORY 3 0 0 6

Offered By

Quality Management

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MEHMET AKSARAYLI

Offered to

Quality Management

Course Objective

The aim of the course is to develop information infrastructure to provide that participants can effectively use basic statistical analysis tools and processes used in business and academic fields, be able to carry out their work in an efficient manner; be able to choose appropriate statistical methods in their studies, be able to collect the necessary data, able to make basic and advanced statistical analysis by using the SPSS software used to analyze collected data, be able to interpret, to evaluate and to provide results of analysis by making tables and graphs by working on real and current quality applications.

Learning Outcomes of the Course Unit

1   To be able to specify the basic concepts related to research methods.
2   To be able to define data structures and scales.
3   To be able to apply statistical methods and data collection tools.
4   To be able to determine research objectives and to express hypotheses.
5   To be able to design the research.
6   To be able to determine the appropriate statistical methods needed for research.
7   To be able to perform data analysis with SPSS statistical software.
8   To be able to interpret the outputs of statistical analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Statistics and Research Methods: Requirements and Basic Concepts
2 Measurement of variables: Scales: classification, sorting, interval and ratio scales; data collection methods
3 The information of Statistic distribution; the basic distributions and analysis
4 The research process: defining the problem and knowledge; data collection, sampling methods, survey design and implementation methods
5 The beginning to SPSS, coding, data input and applications
6 Re-coding and Computation for variables and its applications in SPSS
7 Tools and charts of summarizing data and SPSS applications
8 Parametric Tests: t, z, and ANOVA and SPSS Applications
9 Non-parametric tests: Chi-square, Man-Whitney U, Sign, and so on. Tests and SPSS Applications
10 Regression and Correlation Analysis and SPSS Applications
11 Reliability and validity analysis and SPSS Applications
12 Factor analysis and SPSS Applications
13 Basic principles of Research Report writing and practices
14 Sample applications and student presentations

Recomended or Required Reading

* Paul Newbold, Işletme ve Iktisat için Istatistik, ,Literatür Yayıncılık, 2005, Istanbul
* Kazım Özdamar, Paket Programlar ile Istatistiksel Veri Analizi Cilt:I- II, Şubat 2013
* Sheridan J. Coakes vd., SPSS: Analysis without anguish using SPSS version 13.0 for Windows, Wiley, 2006.
* Hair, Joseph F., Jr., Rolph E. Anderson, Ronald L. Tatham, and William C. Black,
Multivariate Data Analysis, 6th edition. Upper Saddle River, New Jersey: Prentice ­ Hall, Incorporated . 2006.
* Tabachnick, Barbara and Linda S. Fidell, Using Multivariate Statistics, 4th ed. Allyn & Bacon, 2001.

Planned Learning Activities and Teaching Methods

* Start Course - Level Detection:
Firstly at the beginning of the course, students statistical knowledge levels and requirements will be identified.
* Reminder Method:
According to the knowledge level of the students, the first few weeks, statistics concepts and methods will be explained and will be given some extra readings and studies.
* Explaining (lecturing) / Presentation / Applied Teaching Methods
Statistics and research methods will be taught using lecture method and mutual interaction and applications will be made by using the SPSS package program with sample topics related with quality.
* Teaching Through Research and Review / Individual Study Methods
Students will research the current quality topics that they may need in their work and academic lives and will explain the basic principles and literature.
Students will express problems and hypotheses, will determine research methods through the application to be made and will perform their applications.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

Students should come to class for success.
Students have to make the required weekly and semester homework and projects.
It is the student's responsibility to follow the weekly and semester homework and projects.

Contact Details for the Lecturer(s)

Assoc. Prof. Dr. Mehmet AKSARAYLI
mehmet.aksarayli@deu.edu.tr
0-232-301 02 81

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 4 56
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparation for quiz etc. 1 12 12
Preparing presentations 1 12 12
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.14
LO.24
LO.34444
LO.4444
LO.5444
LO.6444
LO.744
LO.844

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS