Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

TOURISM RESEARCH INSTITUTE / İT502 - RELIGIOUS TOURISM (MASTER)

Code: İT502 Course Title: SCIENTIFIC RESEARCH METHODS II 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 RELIGIOUS TOURISM (MASTER)
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer BEKİR BORA DEDEOĞLU (b.bora.dedeoglu@nevsehir.edu.tr)
Name of Lecturer(s) BEKİR BORA DEDEOĞLU,
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is to 1) Provide students knowledge about contemporary concepts and statistical techniques that can be used in organizational behavior and management. 2)Provide students knowledge about multivariate statistics techniques.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 Explain the difference between multivariate statistics techniques and other statistics techniques. PO-10 Evaluate issues related to the field with an interdisciplinary approach and a holistic view; through adopting ethical principles and also reflecting such principles to scientific attitudes and approaches with a respect to different beliefs.
PO-11 Describe, synthesize, analyze, interpret and evaluate data and information professionally.
PO-12 Plan, conduct, evaluate and report a study using scientific research methods.
Examination
Quiz
Performance Project
LO-2 Explain the difference between multivariate statistics techniques and other statistics techniques. PO-10 Evaluate issues related to the field with an interdisciplinary approach and a holistic view; through adopting ethical principles and also reflecting such principles to scientific attitudes and approaches with a respect to different beliefs.
PO-11 Describe, synthesize, analyze, interpret and evaluate data and information professionally.
PO-12 Plan, conduct, evaluate and report a study using scientific research methods.
Examination
Quiz
Performance Project
LO-3 Enter data set to statistics program and make it ready for analysis PO-10 Evaluate issues related to the field with an interdisciplinary approach and a holistic view; through adopting ethical principles and also reflecting such principles to scientific attitudes and approaches with a respect to different beliefs.
PO-11 Describe, synthesize, analyze, interpret and evaluate data and information professionally.
PO-12 Plan, conduct, evaluate and report a study using scientific research methods.
Examination
Quiz
Performance Project
LO-4 List the differences between exploratory and confirmatory factor analyses, apply these analyses and evaluate results PO-10 Evaluate issues related to the field with an interdisciplinary approach and a holistic view; through adopting ethical principles and also reflecting such principles to scientific attitudes and approaches with a respect to different beliefs.
PO-11 Describe, synthesize, analyze, interpret and evaluate data and information professionally.
PO-12 Plan, conduct, evaluate and report a study using scientific research methods.
Examination
Quiz
Performance Project
LO-5 Know the assumptions and limitations of multiple regression analyses, apply this analysis and evaluate results PO-10 Evaluate issues related to the field with an interdisciplinary approach and a holistic view; through adopting ethical principles and also reflecting such principles to scientific attitudes and approaches with a respect to different beliefs.
PO-11 Describe, synthesize, analyze, interpret and evaluate data and information professionally.
PO-12 Plan, conduct, evaluate and report a study using scientific research methods.
Examination
Quiz
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
This graduate course provides necessary knowledge and skills about multivariate statistic techniques.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to Multivariate Statistics Lecture
2 Data Entry Lecture
3 Data Screening Lecture
4 ANOVA, t-test and non-parametric tests Lecture
5 ANCOVA Lecture
6 MANOVA Lecture
7 MANOVA Lecture
8 mid-term exam
9 Multiple Regression Lecture
10 Multiple Regression Lecture
11 Exploratory Factor Analysis Lecture
12 Exploratory Factor Analysis Lecture
13 Confirmatory Factor Analysis Lecture
14 Confirmatory Factor Analysis Lecture
15 Path Analysis Lecture
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Tabachnick B. G. & Fidell, L.S (2013). 6th edition. Using Multivariate Statistics. Pearson Publishing
Required Course instruments and materials
Computer Delineascope Articles

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 1 2 10
8.Term Paper
9.Project
final exam 16 3 50

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 16 48
Outside Class
       a) Reading 0
       b) Search in internet/Library 2 16 32
       c) Performance Project 2 16 32
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 2 16 32
Laboratory exam 0
Own study for mid-term exam 2 16 32
mid-term exam 2 1 2
Own study for final exam 0
final exam 2 1 2
0
0
Total work load; 180