• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта

Research Seminar "Quantitative Technique in Management Studies"

2021/2022
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс обязательный
Когда читается:
4-й курс, 2, 3 модуль

Преподаватели

Course Syllabus

Abstract

The course covers the main guiding principles of conducting a 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

  • This course aims to (1) familiarise the students with the fundamentals of a high quality academic research (2) provide guidance in writing their Bachelor Theses
  • (3) advance students' academic presentations skills
Expected Learning Outcomes

Expected Learning Outcomes

  • 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 and demonstrate the ability to identify and access high quality research via citation management systems
  • Students should be able to distinguish between different types of academic papers and their implications.
  • Students should be able to apply the principles of effective literature review and understand its role and structural differences in different types of academic papers.
  • Students should be able to distinguish between different research methods and strategies and understand the ratioanale 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 address validity and reliability issues in the collected data; organise and effective data collection process to gather high quality data for the analysis
  • Students should be able to apply recommendations on effective delivery of their academic presentations
  • Students should be able to understand the concept of research ethics and possible consequences of fraud and plagiarism
Course Contents

Course Contents

  • Introduction. Course structure, learning objectives and assessment methods.
    Basic concepts. Academic research structure overview and main components. Research impact and quality issues. Research framework and its importance for project analytical and academic formats of the Thesis. Sources, citation management systems, and styles. Theoretical foundation and contribution of the research as the main goal of your future Thesis. Rendering.
  • Research design basics and components
    Research logic. Research questions. Empirical cycle: observation, induction, deduction, testing and evaluation. Types of academic papers and research implications. Literature review as a part of theoretical foundation: types, structure, key words. Theoretical foundation as a part of discussion and conclusion sections. Common pitfalls and mistakes.
  • Research methods, procedures and techniques
    Research methods vs research strategies. Experiments and quasi-experiments. Surveys. Observation. Case study. Interviews. Grounded theory. Ethnography. Types of questions to be asked. Target audience and response rate. Mixed methods and common pitfalls.
  • Constructs and variables. Data types.
    Operational definition. Independent, dependent variables. Constant. Confounder, control variables. Measurement levels and structures. Nominal, ordinal, interval and ratio variables. Construct validity. Measurement reliability. Test/retest. Split ratios. Random and systematic error.
  • Data collection and data analysis. Sampling. External validity.
    Recap of descriptive statistics, inferential statistics. Causality and correlation. Research methods in managements and business. Population, sample, stratum, census, element. Random (probability) sampling methods. Non probability sampling methods. Sample estimate. Sampling bias. Confidence interval. Sample size. SEM, fsQCA and possible combinations with regression analysis. Quality control. Panels design. Time series design.
  • Research findings and research ethics.
    Research findings: Results vs. Discussion sections. Research finding and discussion sections. Accuracy, Validity, Limitations, Implications. Reports, scientific papers, abstracts, posters. Accuracy, Validity, Limitations, Implications. Reliability and validity (construct, internal, external). Research ethics: fraud, plagiarism, conflicts of interest. Presentation skills and tips. Research opportunities at HSE
Assessment Elements

Assessment Elements

  • non-blocking Assignments
    The grade is rounded by means of simple arithmetic rounding.
  • non-blocking Research proposal presentation
    The grade is rounded by means of simple arithmetic rounding.
  • non-blocking Research proposal defence
    The grade is rounded by means of simple arithmetic rounding
  • non-blocking Thesis work-in-progress draft
    The grade is rounded using simple arithmetic rounding.
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    FG=0,25*AS+0,25*D1+0,25*D2+0,25*TD AS – Assignments D1 – Research proposal presentation D2 – Research proposal defence TD – Thesis work-in-progress draft Rounding is standard. Example 7.5=8; 7.4=7; 7.6=8. The rounding is used for each assessment element. In-class assignments must be uploaded 2 hours before the start of the seminar. Late submissions of the tasks result in 1 point deduction for every 24 hours of the delay. Cameras must be on during the presentations, otherwise the individual score is reduced by 50%.
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).
  • Creswell, J. W. (2014). Educational Research: Pearson New International Edition : Planning, Conducting, and Evaluating Quantitative and Qualitative Research (Vol. Fourth edition, Pearson new international edition). Harlow, Essex: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1418055
  • 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
  • Research design: Qualitative, quantitative, and mixed methods approaches, Creswell J.W., 2009
  • Strengths and Limitations of Qualitative and Quantitative Research Methods. (2017). https://doi.org/10.5281/zenodo.887088
  • 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

  • Mark Israel, & Iain Hay. (2006). Research Ethics for Social Scientists. SAGE Publications Ltd.
  • 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