General and statistical methods of scientific research

INVEST Transversal Courses

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  • ECTS: 1
  • Total hours: 12
  • Language: English
  • Mode of participation: blended
  • Max participants: 5
  • Course code: INV.TRSVL.14
  • Category: BASIC TECHNOLOGY SKILLS
Prerequisites
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How To Apply

Contact for registration: doktoranti@uard.bg 

Course registration period: 1 October – 31 October 2025

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Reading material: 

  1. Creswell, J. W. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.

  2. Babbie, E. R. (2020). The Practice of Social Research (15th ed.). Cengage Learning.

  3. Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE Publications.

  4. Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press.

  5. Montgomery, D. C. (2020). Design and Analysis of Experiments (10th ed.). Wiley.

  6. Silverman, D. (2020). Interpreting Qualitative Data (6th ed.). SAGE Publications.

  7. Cohen, L., Manion, L., & Morrison, K. (2018). Research Methods in Education (8th ed.). Routledge.

  8. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate Data Analysis (8th ed.). Cengage Learning.

  9. Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson.

  10. Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). SAGE Publications.

 

Video resources 

  • Research Methodology Lecture Series (Episode 1): This lecture by Dr. Muhammad Imran Qureshi introduces fundamental concepts of research methodology, covering essential aspects of conducting scientific research. YouTube

  • Statistical Data Analysis | Statistical Data Science | Part 1: This video offers an introduction to statistical data analysis, emphasizing its significance in data science and research contexts. YouTube

Participants' progress and understanding will be assessed through a combination of the following evaluation methods:

  • Quizzes and Assignments: Periodic quizzes and short assignments to assess comprehension of key concepts.

  • Practical Exercises: Hands-on activities such as data analysis, survey design, and research project planning.

  • Research Proposal Development: Participants will be required to develop a research proposal demonstrating their understanding of research design and methodology.

  • Final Project: Conducting a mini-research study, including data collection, analysis, and reporting findings.

  • Oral Presentation: Presentation of research findings in a seminar-style setting to assess communication and presentation skills.

  • Peer and Instructor Feedback: Constructive feedback from peers and instructors to enhance learning and critical thinking.

  • Attendance and Participation: Active participation in discussions, group work, and case studies.

  • Final Examination: A written exam covering theoretical and practical aspects of research methods and statistics.

Participants who successfully complete all assessments will receive a certificate of completion.

4 - Quality Education

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