COURSE UNIT TITLE

: QUANTITATIVE RESEARCH METHODS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
TUI 6195 QUANTITATIVE RESEARCH METHODS ELECTIVE 3 0 0 10

Offered By

Tourism Management

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSOCIATE PROFESSOR YILMAZ AKGÜNDÜZ

Offered to

Tourism Management

Course Objective

The objective of this course is to allow students learn research methods. Topics include identification of research problem, collection of data, identification of variables, construction of hypothesis, selection of research design, measurement scales, reliability and validity analysis, ANOVA, correlation and regression analysis. The course also includes research methods used in quality studies.

Learning Outcomes of the Course Unit

1   Identify fundamental concepts related to research methods.
2   Explain data collection techniques in research process.
3   Construct hypothesis in research process.
4   Design research.
5   Define measurement scales used in quantitative research.
6   Explain quantitative data analysis.
7   Carry out research.
8   Analyze data using SPSS statistical programme.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Research Methods: Basic and Applied Research
2 Scientific Research: Fundamentals of Science, Induction, Deduction
3 Research Process: Data collection, literature review, identification of problem
4 Research Process: Variables, theoretical framework, hypothesis
5 Research Process: Research design, the role of researcher, level of analysis, time dimension, experimental design
6 Measurement of Variables: Scales, data collection techniques, quantitative data collection tools
7 Sampling: Population, sample, distributions, data entry to SPSS
8 Data Analysis: Reliability and Validity Analysis
9 Data Analysis: Validity and Confirmatory Factor Analysis
10 Data Analysis: Chi-square and t-test, ANOVA, correlation analysis
11 Data Analysis: Multiple Regression
12 Research Report: Preparing reports and writing projects and making presentations
13 Presentations
14 Presentations

Recomended or Required Reading

Textbook(s):
Uma Sekaran, Research Methods for Business: A Skill Building Approach, Wiley, 2003.
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.
Ann Bowling, Research Methods in Health, Maidenhead, Open University Pres, 2005.
Yahşi Yazıcıoğlu, Samiye Erdoğan, SPSS Uygulamalı Bilimsel Araştırma Yöntemleri, Detay Yayıncılık, Ankara, 2004
Ibrahim Kılıç, Ayhan Ural, Bilimsel Araştırma Süreci ve SPSS ile Veri Analizi, Detay Yayıncılık, Ankara, 2004
Supplementary Book(s) / References / Materials
International Journal of Social Research Methodology
Dokuz Eylül Üniversitesi, SBE Dergisi

Planned Learning Activities and Teaching Methods

Question answer, presentation, case analysis, group work, field study.

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 * 0.40 + STT * 0.20 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + STT * 0.20 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

1. Bell-curve can be used in the calculation of grades based on the initiative of the course lecturer and overall sucsess level of students. In this case, students need to get at least 25 points in each exam to be able to participate bell-curve calculations. If any of the questions left unanswered, its value will be subtracted from the exam result. If the question is just simply answered (without showing the calculations reaching the result), then it will be graded with %25 of the question value.
2. The grade obtained from the participation of the student will depend on (i) participation to the courses, (ii) quality of the given answers asked by the course lecturer during the course and (iii) contribution of the student to create an affirmative learning environment.
3. A decent participation will help the grades between the border of two grades to increase it to the upper level.
4. Case analysis requires a cooperative effort. The group is responsible from ensuring each members' approximate contribution to the group work. case studies will be graded by the lecturer of the course and group members. Each member of the group will be asked to evaluate the contribution of themselves and other group members at the end of the semester.
5. Case studies, field studies and working papers will be evaluated in terms of the subject's being clearly understood, approach and the authenticity of the discussion, accuracy of results, comprehensiveness of the report content and depth of the analysis, presentation skills such as clarity and organization, format, punctuation, grammar and quality of the images.

Language of Instruction

Turkish

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.
2. Violations of Plagiarism of any kind will result in disciplinary steps being taken.
3. Being absent in a class can not be an excuse for the late submission of assignments.
4. Cell phones can not be used as a calculator in examinations.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 14 8 112
Preparation for midterm exam 1 25 25
Preparation for final exam 1 35 35
Preparing assignments 1 30 30
Preparing presentations 1 12 12
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 254

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.155
LO.24
LO.34
LO.45
LO.55
LO.65
LO.745
LO.84