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Regular version of the site
Bachelor 2022/2023

Research Seminar "Quantitative Technique in Management Studies"

Area of studies: Management
When: 4 year, 2-4 module
Mode of studies: offline
Open to: students of one campus
Language: English
ECTS credits: 3
Contact hours: 50

Course Syllabus

Abstract

The course covers the main guiding principles of conducting high quality academic research. By the end of the course, the students will be able to make informed decisions on the research design of their academic papers; understand and adhere to high standards of academic research; understand the importance of theoretical foundation of their research; apply the principles of an effective literature review; recognise the importance of a research framework; understand widely used research methods and data analysis techniques; address data collection and sampling issues as well as bias and validity issues; apply best practices of creating and delivering academic presentations.
Learning Objectives

Learning Objectives

  • · to make informed decisions on the research design of their academic papers;
  • · to understand and adhere to high standards of academic research;
  • · to understand the importance of theoretical foundation of their research;
  • · to apply the principles of an effective literature review;
  • · to recognize the importance of a research framework;
  • · to understand widely used research methods and data analysis techniques;
  • · to address data collection and sampling issues as well as bias and validity issues;
  • · to understand the main principles of research ethics and the consequences of research misconduct.
Expected Learning Outcomes

Expected Learning Outcomes

  • Students should be able to distinguish between different research methods and strategies and understand the rationale for their application.
  • Students should be able to choose appropriate sample defining techniques, data collection strategy, and data analysis methods.
  • Students should be able to understand the notion of research ethics and possible consequences of fraud and plagiarism.
  • Students should be able to distinguish between the types of academic papers, identify and access high quality research via citation management systems, and make a literature review.
  • Students should be able to understand the importance of research framework and theoretical foundation of the research as a basis of its contribution to the body of knowledge
  • Students should be able to distinguish between different research methods and strategies and understand the rationale for their application
  • Students should be able to address validity and reliability issues in the collected data; organise effective data collection process to gather high quality data for the analysis
Course Contents

Course Contents

  • Introduction. Course structure, learning objectives and assessment methods.
  • Research design basics and components
  • Research methods, procedures and techniques
  • Constructs and variables. Data types.
  • Data collection and data analysis. Sampling. External validity.
  • Research findings and research ethics.
Assessment Elements

Assessment Elements

  • non-blocking Class Assignments
  • non-blocking Research proposal defence
  • non-blocking Thesis draft presentation
  • non-blocking Thesis draft text
Interim Assessment

Interim Assessment

  • 2022/2023 4th module
    0.25 * Thesis draft presentation + 0.125 * Class Assignments + 0.25 * Research proposal defence + 0.25 * Thesis draft text
Bibliography

Bibliography

Recommended Core Bibliography

  • Creswell, J. W. . V. (DE-588)133331512, (DE-627)543371581, (DE-576)164944168, aut. (2018). Designing and conducting mixed methods research John W. Creswell (Department of Family Medicine, University of Michigan), Vicki L. Plano Clark (School of Education, University of Cincinnati).
  • Fallon, M. (2016). Writing up quantitative research in the social and behavioral sciences. Brill.
  • Oliver, P. (2010). The Student’s Guide to Research Ethics (Vol. 2nd ed). Maidenhead, Berkshire, England: McGraw-Hill Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=466502
  • Sykes, B., Verma, A., & Hancock, B. (2018). Aligning sampling and case selection in quantitative-qualitative research designs: Establishing generalizability limits in mixed-method studies. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edssch&AN=edssch.oai%3aescholarship.org%2fark%3a%2f13030%2fqt74j5p4dz
  • Willem Mertens, Amedeo Pugliese, & Jan Recker. (2017). Quantitative Data Analysis. Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.spr.sprbok.978.3.319.42700.3

Recommended Additional Bibliography

  • HU, C.-P., & CHANG, Y.-Y. (2017). John W. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.BCEBF1CE
  • Wahyuni, D. (2012). The Research Design Maze: Understanding Paradigms, Cases, Methods and Methodologies. Journal of Applied Management Accounting Research, 10(1), 69–80. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=76405928