Course Contents

The aim of this course is to enable doctoral students to advance their dissertation studies by conducting data collection, analysis, and interpretation processes in accordance with scientific standards. The course is designed to enhance students’ ability to integrate theoretical frameworks with empirical research, analyze research findings, and generate academic contributions.Additionally, the course aims to ensure that students make systematic progress toward completing their doctoral dissertations and are able to present their work at the level of academic publication quality.

This course is designed for doctoral students who have advanced to the dissertation stage and whose dissertation proposals have been approved. Students are expected to have sufficient knowledge of research methods and statistical analysis.

Main References:Creswell, J. W. – Research DesignHair, J. F. et al. – Multivariate Data AnalysisRecommended Readings:Recent academic journal articles in the fieldInternational peer-reviewed journalsResources on academic writing and publication processesThese materials are intended to support students in effectively conducting scientific research and producing academic contributions.

Full compliance with academic integrity principles is required. All academic work must be original, and all sources must be properly cited.Artificial intelligence tools may be used only for supportive purposes (e.g., literature review, data analysis support, writing suggestions). The direct use of AI-generated content without proper acknowledgment is considered a violation of academic ethics. Students are expected to clearly disclose the use of AI tools and assume full academic responsibility for their work.