>
Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Advanced Research Techniques YOD116 Compulsory Doctorate degree 1 Spring 7

Name of Lecturer(s)

Prof. Dr. Ayşe GÜNSEL
Prof. Dr. Muhsin HALİS

Learning Outcomes of the Course Unit

1) Collect knowledge of when and how to perform appropriate statistical technique
2) Apply SPSS and SEM software to implement multivariate techniques
3) Distinguish between between multivariate and univariate analysis

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3
Learning Outcomes
1 Middle Middle Middle
2 Middle Middle Middle
3 Middle Middle Middle

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

None

Course Contents

In this lesson, the validity and the reliability analyses will be examined and the participants will be informed anout hypotheses testing through correlation, regression and path analyses. In this vein, SPSS ans Structureal Equation Modelling (SEM) will be held. , the emergence of technology as a discipline, technology innovation relationship, teschology acquisition, usage , transfer and reflections on innovativeness,, methods developing creativity, innovative ideas and creating innovation in organizations willl be the basic topics to examine.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods



Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

30%

Contribution of Final Examination to Course Grade

70%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required