Бакалавриат
2021/2022
Научно-исследовательский семинар "Количественные методы исследований"
Статус:
Курс обязательный (Международный бизнес и менеджмент)
Направление:
38.03.02. Менеджмент
Кто читает:
Департамент менеджмента
Где читается:
Санкт-Петербургская школа экономики и менеджмента
Когда читается:
4-й курс, 2, 3 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Бордунос Александра Константиновна,
Нефедов Константин Сергеевич,
Селивановских Луиза Владимировна
Язык:
английский
Кредиты:
3
Контактные часы:
30
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
- · 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
- 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 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 choose appropriate sample defining techniques, data collection strategy, and data analysis methods.
- Students should be able to distinguish between different research methods and strategies and understand the ratioanale for their application
- Students should be able to distinguish between different types of academic papers and their implications.
- Students should be able to understand the concept of research ethics and possible consequences of fraud and plagiarism
- 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
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
- AssignmentsThe grade is rounded by means of simple arithmetic rounding.
- Research proposal presentationThe grade is rounded by means of simple arithmetic rounding.
- Research proposal defenceThe grade is rounded by means of simple arithmetic rounding
- Thesis work-in-progress draftThe grade is rounded using simple arithmetic rounding.
Interim Assessment
- 2021/2022 3rd moduleFG=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
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.
- Mark Israel, & Iain Hay. (2006). Research Ethics for Social Scientists. SAGE Publications Ltd.
- 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
- 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