Научно-исследовательский семинар "Количественные методы исследований"

Бакалавриат 2021/2022

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

Full 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

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

Interim Assessment

2021/2022 3rd 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

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

Course Syllabus