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Course Syllabus

Course Syllabus


 

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Postgraduate course 2023/2024

Quantitative Methods of Research in Management

Type: Compulsory course
Area of studies: Postgraduate Studies
Delivered by: Department of Strategic and International Management
When: 1 year, 1 semester
Mode of studies: offline
Open to: students of one campus
Instructors: Anna Veselova
Language: English
ECTS credits: 3
Contact hours: 28

Course Syllabus

Full SyllabusAsk Question

Abstract

The course introduces the process of formal inquiry and helps to develop advanced analytical skills needed to collect research relevant information, process and analyze the data using established quantitative methods and to make conclusions on the basis of research results. It makes PhD students familiar with the development of structured questions to guide their inquiry, design their research design, select appropriate quantitative research methods, and apply them correctly to advance their research.
Learning Objectives

Learning Objectives

  • The course aims to advance PhD students’ knowledge of diverse quantitative methods and instruments for their implementation and train their analytical skills through introduction and elaboration of key research approaches and methods.
Expected Learning Outcomes

Expected Learning Outcomes

  • The sudents identify proper research topic and formulate research problem
  • The students determine the information sources necessary for addressing the research question
  • The students develop a research design that corresponds to the formulated RQs
  • The students select appropriate research methods to conduct empirical research
  • The students apply correctly the appropriate quantitative research methods
Course Contents

Course Contents

  • Topic 1. Introduction to Research in Management.
  • Topic 2. Data collection.
  • Topic 3. Introduction to quantitate research.
  • Topic 4. Exploratory and confirmatory factor analysis. Reliability analysis.
  • Topic 5. Quantitative methods for dependence analysis.
  • Topic 6. Analysis of panel data.
  • Topic 7. Structural equation modelling.
Assessment Elements

Assessment Elements

  • non-blocking Test 1
  • non-blocking Test 2
  • non-blocking Homework 1
  • non-blocking Homework 2
  • blocking Exam
Interim Assessment

Interim Assessment

  • 2023/2024 1st semester
    0.4 * Exam + 0.2 * Homework 1 + 0.2 * Homework 2 + 0.1 * Test 1 + 0.1 * Test 2
Bibliography

Bibliography

Recommended Core Bibliography

  • Saunders, M. N. K., Thornhill, A., & Lewis, P. (2019). Research Methods for Business Students (Vol. Eighth edition). Harlow, United Kingdom: Pearson Education Limited. Retrieved from https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=5774742

Recommended Additional Bibliography

  • Saunders, M. N. ., & Lewis, P. (2017). Doing Research in Business and Management (Vol. 2nd). Harlow, United Kingdom: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1594065

Authors

  • Veselova Anna Sergeevna