INTERNATIONAL BURCH UNIVERSITY
Graduate Study - Faculty of Education and Humanities
English Language and Literature PhD
2013-2014

SYLLABUS
Code Name Level Year Semester
ELT 620 Scientific Research Methods Graduate 1 Spring
Status Number of ECTS Credits Class Hours Per Week Total Hours Per Semester Language
7.5 0 English

Instructor Assistant Coordinator
Aid Smajić, Assoc. Prof. Dr. Aid Smajić, Assoc. Prof. Dr.
[email protected] no email

COURSE OBJECTIVE
The course provides an introduction to science as a way of thinking and to scientific research as a process of inquiry in general and quantitative research methods in particular. The course introduces the nature of empirical research in social sciences and the main steps in the research process: choosing research topic and variables, literature review, formulating research problem and hypotheses, sampling of research participants, collecting data, statistical data analysis (organizing data, descriptive statistics, statistical inference, and inferential statistics) and disseminating research results. The course especially focuses on quantitative research designs (observation, survey and experiment) and their respective methodologies in the context of ongoing research process.

COURSE CONTENT
Week
Topic
  1. Course introduction
  2. Meaning, planning and designing of scientific research
  3. General types of quantitative research designs and approaches (observation, correlation survey, experiment)
  4. General approaches for controlling artifact and bias
  5. Methods of data collection (measurement, questionnaires, survey): psychometric considerations
  6. Data preparation
  7. MIDTERM EXAM
  8. Data analysis: descriptive statistics
  9. Data analysis: inferential statistics (t-test, ANOVA, MANOVA, ANCOVA, MANCOVA)
  10. Data analysis: inferential statistics (correlation and regression). Data interpretation.
  11. Data analysis: inferential statistics (nonparametric procedures: chi-square, Man-Whitney U test and Kruskal-Wallis test)
  12. Disseminating research results
  13. Presentation of research projects
  14. Presentation of research projects

LABORATORY/PRACTICE PLAN
Week
Topic

    TEACHING/ASSESSMENT
    Description
    • Lectures
    • Practical Sessions
    • Excersises
    • Presentation
    • Project
    • Assignments
    • Demonstration
    Description (%)
    Method Quantity Percentage (%)
    Project150
    Midterm Exam(s)120
    Presentation110
    +Project presentation 1 20
    Total: 100
    Learning outcomes
    • To understand and appreciate the nature and importance of scientific research
    • To comprehend the basic concepts and requirements in quantitative research in social sciences
    • To critically and systematically evaluate the validity and methodological soundness of existing scientific and quantitative research.
    • To acquire appropriate statistical knowledge and skills needed in organizing, describing and interpreting quantitative data.
    • To independently conduct observation, survey and experiment study of various psycho-social issues while systematically applying principles of valid scientific research in all its phases (i.e. formulating research problem, data collection, statistical analysis, dissemination of the results).
    TEXTBOOK(S)
    • • Marrczyk, G., DeMatteo, D., Festinger, D. Essentials of Research Design and Methodology. John Wiley & Sons, 2005.
    • • Robson, C. Real World Research. John Wiley & Sons, 2011.
    • • Green, S.B., Salkind, N.J. Using SPSS for Windows and Macintosh: Analyzing and Understanding Data. 5th edition. Prentice Hall, 2007.
    • • Spector, P. Summated Scale Rating Construction: An Introduction. Thousand Oaks, CA, 1992.

    ECTS (Allocated based on student) WORKLOAD
    Activities Quantity Duration (Hour) Total Work Load
    Lecture (14 weeks x Lecture hours per week) 0
    Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) 0
    Midterm Examination (1 week) 0
    Final Examination(1 week) 0
    Preparation for Midterm Examination 0
    Preparation for Final Examination 0
    Total Workload: 0
    ECTS Credit (Total workload/25): 0