Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

TOURISM RESEARCH INSTITUTE / GMS504 - GASTRONOMY AND CULINARY ARTS (MASTER)

Code: GMS504 Course Title: ADVANCED RESEARCH METHODS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Spring Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Compulsory
Department GASTRONOMY AND CULINARY ARTS (MASTER)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer EDA ÖZGÜL KATLAV (edaozgul@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The purpose of the course is to provide knowledge about scientific thinking, research design, data collection, data analysis and interpretation, writing a research report and acquiring scientific attitude and behavior.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Students will be able to acquire knowledge and skills in solving problems and planning, designing and conducting a research. PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems.
PO-6 Gastronomy and Culinary Arts with the ability to evaluate information in a critical way.
PO-7 Plans, conducts, evaluates and presents a research on the field by using scientific research methods.
Examination
Presentation
LO-2 Students can collect data in accordance with the aim of the research PO-1 Develops and deepens the knowledge and skills of Gastronomy and Culinary Arts and related disciplines at the level of expertise.
PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems.
PO-6 Gastronomy and Culinary Arts with the ability to evaluate information in a critical way.
Examination
Presentation
LO-3 Students can use SPSS efficiently in analyzing data and evaluate the results PO-1 Develops and deepens the knowledge and skills of Gastronomy and Culinary Arts and related disciplines at the level of expertise.
PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems.
PO-9 Analyze and critically interpret and evaluate the knowledge and skills acquired.
Examination
Presentation
LO-4 Students can write and present a research report in accordance with the academic rules. PO-1 Develops and deepens the knowledge and skills of Gastronomy and Culinary Arts and related disciplines at the level of expertise.
PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems.
PO-6 Gastronomy and Culinary Arts with the ability to evaluate information in a critical way.
Examination
Presentation
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Science and scientific research, Scientific research process, Analyzing resource and developing hypothesis, Data and data resources in scientific research, Data collection methods, Scaling and Measuring, Sampling and Sampling Methods, Quantitative Analysis Techniques, Qualitative Analysis Techniquesysis Techniques, Writing research report
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Data analysis and types Representing subjects. Question and answer.
2 Descriptive Statistics Normal Distribution Assumption Representing subjects. Question and answer. Solving problems technique. Computer application.
3 Factor Analysis Reliability Analysis Representing subjects. Question and answer. Solving problems technique. Computer application.
4 t-tests (Independent two-sample t-test, Dependent two-sample t-test, One-sample t-test) Representing subjects. Question and answer. Solving problems technique. Computer application.
5 One-way and factorial analysis of variance Representing subjects. Question and answer. Solving problems technique. Computer application.
6 Non-parametric tests Representing subjects. Question and answer. Solving problems technique. Computer application.
7 Quiz 1 Question and answer. Computer application.
8 mid-term exam
9 One-way and factorial multivariate analysis of variance Representing subjects. Question and answer. Solving problems technique. Computer application.
10 Covariance and multivariate covariance analysis Representing subjects. Question and answer. Solving problems technique. Computer application.
11 Correlation, Regression (Linear and multiple linear) Representing subjects. Question and answer. Solving problems technique. Computer application.
12 Application of regression analysis with mediating variable (Mediation Model) Representing subjects. Question and answer. Solving problems technique. Computer application.
13 Applying regression analysis with moderating variable (Moderation Model) Representing subjects. Question and answer. Solving problems technique. Computer application.
14 Quiz 2 Question and answer. Computer application.
15 Quiz 3 Question and answer. Computer application.
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Hair, J. D., Anderson, R. E., Tatham, R. L. ve Black, W. C., (2010). Multivariate Data Analysis (7th Ed.). New Jersey: Pearson Education, Inc
2 Altunışık, R., Coşkun, R., Bayraktaroğlu, S. ve Yıldırım, E. (2007). Sosyal Bilimlerde Araştırma Yöntemleri. Sakarya: Sakarya Yayıncılık
3 Kalaycı, Ş. (2008). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikler. Asil Yayın Dağıtım: Ankara.
Required Course instruments and materials
Computer Projection

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 3 12 36
       b) Search in internet/Library 3 12 36
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 16 32
mid-term exam 2 1 2
Own study for final exam 2 20 40
final exam 2 1 2
0
0
Total work load; 190