BA in Accounting and Finance / Бакалавр в Области Бухгалтерского Учета и Финансов

Course Details

Course Information Package

Course Unit TitleRESEARCH METHODOLOGY II
Course Unit CodeAFRM202
Course Unit Details
Number of ECTS credits allocated5
Learning Outcomes of the course unitBy the end of the course, the students should be able to:
  1. Comprehend the nature and usefulness of research
  2. Write the research report: Structure of the research report
  3. Understand different methodologies for quantitative data
  4. Collect and analyze quantitative data (actual data obtained online from various organizations and use of questionnaires)
  5. Use of software packages for data processing
  6. Describe data using basic statistics and graphs (mean-variance-quartiles etc)
  7. Analyze and explain data results using basic estimation techniques (Regression analysis-Least squares method)
  8. Apply all the above during both the mid-term and final presentation and subsequent preparation of the research project submitted
Mode of DeliveryFace-to-face
PrerequisitesAFRM201Co-requisitesNONE
Recommended optional program componentsNONE
Course Contents

1.      Introduction: Research process: Steps we follow to do research.

2.   Structure of a research report. Writing using appropriate layout, style,organization, structure and referencing a research project to academicstandards. Synthesize information in a focused way in order to develop andsupport arguments through a project in which students will apply themethodological concepts obtained in lectures

3. Understanding different methodological approaches. Main researchstrategies and elements of a research design. An introduction to various methodused for research. Structure of a questionnaire.

4.  Quantitative research: Analysis and organization of data. Analysis oftwo variables and the relationship between them. Examples using real data inlab, along with using appropriate software packages such as SPSS, Excel, Stataand other.

5.    Statistical methods: Regression analysis (least squares method) forquantitative data. Introduction to Simple Regression (between two variables).Analysis and explanation of the results.

6.      Multiple regressions: analysis between more than two variables,interpretation of the results.

7.     Extensions of multiple regressions using dummy variables, logarithms andquadratics. Hypothesis testing using basic statistical tools on thesignificance of the results.

8.   Application of all the above regression analysis tools using actual dataand the appropriate software in a project.

9.      Orally present part of the research project

Recommended and/or required reading:
Textbooks
  • Saunders/Lewis/Thornhill, Research Methods for Business Students, 4th edition, Prentice Hall, 2007
  • Wonnacott and Wonnacot, Introductory statistics for business and economics, Fourth edition.
References
  • Crowther David and Lancaster Geoff (2008) Research Methods: A concise introduction to research in management and business consultancy, Butterworth-Heinemann
  • Sekaran, U (2003). Research methods for business: A skill building approach, 4th edition, New Jersey, John Wiley and Sons, Inc
  • Cooper Donald and Schindler P (2006), Business Research methods, 9th edition, McGraw Hill
  • Wooldridge J.M (2006). Introductory Econometrics: A modern approach, 3rd edition, Thomson Higher Education
Planned learning activities and teaching methods Lectures, discussions, examples, application using real data in lab.
 
The students should be able to collect appropriate data and use descriptive and regression analysis methods, along with appropriate software, in order to answer a research question in mind.
They should be able to interpret their results following the purpose of any quantitative project.
 
Use of software packages for data processing
Collecting and analyzing data using quantitative methods (descriptive statistics and regression analysis)
Oral presentations, feedback based on the evaluation of the research project submitted
Assessment methods and criteria
Assignments20%
Project20%
Mid-term exam20%
Final Exam40%
Language of instructionEnglish
Work placement(s)NO

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