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SDÜ Education Information System Course Content
Programme
Institute of Social Science
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
02TIS5129
Statistical applications in tourism research
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. Didar BÜYÜKER İŞLER
Course Instructors
2-Didar Büyüker İşler
Course Assistants
 
Course Aims
The goal of this course is to have students able to construct, analyze, modify, and test the adequacy of variety of multivariate statiscal models using with spss and report the results of their analyses in a manner acceptable in refereed journals.
Course Goals
Advanced research in tourism is to have the ability to do statistical analysis.
Learning Outcomes of The Course Unit
This course will compare and understand with more commonly used statistical procedures such as analysis of variance, multiple regression analysis, and factor analysis; This course will familiarize graduate students in psychology with the language, logic, and implementation of statiscal modeling
Course Contents
This graduate course overviews the application of advance statiscal methods to various analysis problems confronted throughout the social, behavioral, and tourism sciences. Topics will include Spss program, using spss with measurement and multivariate models, reliability, vallidity, correlation,regression analyse, logistic regression, explorative factor analysis,chi-square and cluster analyse.
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
40
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
3
42
Homework
1
20
Homeworks
3
10
30
Attendance
0
0
Presentation
2
20
40
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
2
10
20
Seminary
1
40
Finals
1
10
10
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
 
The ratio of the term to success
40
Course's ECTS Credit
 
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Hair, Joseph F., et al. Multivariate data analysis. Vol. 6. Upper Saddle River, NJ: Pearson Prentice Hall, 2006.
Additional Resources
Cohen, Jacob, et al. Applied multiple regression/correlation analysis for the behavioral sciences. Routledge, 2013.
Material Sharing
Documents
Peng, Bo, Haiyan Song, and Geoffrey I. Crouch. "A meta-analysis of international tourism demand forecasting and implications for practice." Tourism Management 45 (2014): 181-193.
Assignments
Lecturing at the end of each one to analyze data by students
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
Course Content