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Research Seminar

2017/2018
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс обязательный
Когда читается:
2-й курс, 1-3 модуль

Преподаватели

Course Syllabus

Abstract

The major aim of the course is to support the preparation of the bachelor thesis draft. In this discipline, all stages of writing an academic text are sequentially considered. The students obtain knowledge concerning (1) planning the research and prepare the research design, (2) searching, choosing and critically analyzing the literature, (3) choosing and implementing the quantitative and qualitative data analysis methods and (4) describing and formalizing the results of the conducted research. The material obtained during the classes, is trained by students during group and individual class work tasks and after that and also used in the preparing of three homeworks, major components of the final bachelor thesis draft.
Learning Objectives

Learning Objectives

  • planning the research and prepare the research design
  • searching, choosing and critically analyzing the literature
  • choosing and implementing the quantitative and qualitative data analysis methods
  • describing and formalizing the results of the conducted research
Expected Learning Outcomes

Expected Learning Outcomes

  • The ability to work in a team
  • The ability to find and evaluate new market possibilities and formulate new business ideas
  • The ability to collect, process, and analyze data necessary for solving research tasks
  • The ability to choose relevant methods for processing information in correspondence with scientific tasks, to analyze the results of calculations, and to defend conclusions based on these calculations
  • The ability to analyze and interpret data from domestic (Russian) and foreign statistics about social and economic processes and trends, and to identify regular changes in social and economic indicators
  • The ability to use modern technical tools and information technology to solve analytic and research tasks
Course Contents

Course Contents

  • Research topic, research philosophies and approaches
    Formulating and clarifying the research topic. Philosophy sections (ontology, epistemology and axiology), research philosophies (positivism, realism, interpretivism and pragmatism), research paradigms (radical humanist, radical structuralist, interpretive and functionalist).
  • Research design
    Research questions, research objectives, research purpose (exploratory descriptive and explanatory studies). Research strategy (experiment, survey, case study, action research, grounded theory, ethnography, archival research), research choices (method), time horizons (cross-sectional, longitudinal).
  • Theoretical Foundation
    Planning literature, search strategy (literature parameters, key words), common link terms that use Boolean logic, organize the found resources, adopting critical perspective in the reading (previewing, annotating, summarizing, comparing and contrasting), the structure of the critical review. The use of Zotero, Scopus WoS, VOSviewer for searching, organizing and analyzing the literature.
  • Data structures, general population and samples
    Classifying the various Types of data sets: 1) By the number of pieces of information / variables (Univariate, bivariate, multivariate data) 2) By the kind of measurement (Quantitative/ numbers or qualitative/categories) 3) By whether or not the time sequence of recording is relevant (Time-series and cross-sectional data) 4) By whether or not the information was newly created or had previously been created by others for their own purposes (primary, secondary). Probability (representative) and non-probability (judgemental) sampling, selecting sample strategy, calculating the minimum sample size, estimation of the representativeness of the sample.
  • Qualitative data analysis methods
    Preparing the data for analysis, approaches to qualitative analysis (deductively and inductively based analytical procedures).
  • Quantitative data analysis methods
    Testing for significant relationships and differences for two variabilities (Chi square, Independent and paired t -test, Mann-Whitney U test). Testing for significant relationships and differences for three or more variabilities / groups (ANOVA test). Time series analysis, forecasting. Grouping the data (cluster analysis).
  • Research results formalizin
    Oral presentation of the research results.
Assessment Elements

Assessment Elements

  • non-blocking Homework 1
  • non-blocking Homework 2
  • non-blocking Homework 3 (Oral Presentation)
  • non-blocking Class Performance
  • non-blocking Grade for the third course
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.2 * Class Performance + 0.3 * Grade for the third course + 0.15 * Homework 1 + 0.15 * Homework 2 + 0.2 * Homework 3 (Oral Presentation)
Bibliography

Bibliography

Recommended Core Bibliography

  • Essential Skills for Management Research [Электронный ресурс] / ed. David Partington, - SAGE Publications, 2002., - Режим доступа: https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=354941.
  • Partington, D., & Cranfield School of Management. (2002). Essential Skills for Management Research. London: SAGE Publications Ltd. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=251666

Recommended Additional Bibliography

  • Lancaster, Geoff. Research Methods in Management : A Concise Introduction to Research in Management and Business Consultancy, Routledge, 2004. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=297137.