Module BUSI2311: Business Research Methods and Statistics

Department: Management and Marketing

BUSI2311: Business Research Methods and Statistics

Tied To

• CFG0: Natural Sciences
• CFG1: Natural Sciences with Year Abroad
• CFG2: Natural Sciences with Placement
• FGC0: Natural Sciences
• FGC1: Natural Sciences with Placement
• LA01: Liberal Arts
• LA02: Liberal Arts (with Year Abroad)
• LA03: Liberal Arts (with Placement Year)
• LMV0: Combined Honours in Social Sciences
• LMVA: Combined Honours in Social Sciences (with Year Abroad)
• LMVP: Combined Honours in Social Sciences (with Placement Year)
• N201: Business and Management
• N203: Business and Management with Placement Year
• N207: Business and Management with Study Abroad

Pre-requisites

Corequisites

Excluded Combinations

Aims

• To examine the influential philosophical and epistemological perspectives underpinning research.
• To provide students with a comprehensive grounding in a variety of research methods in the world of business, including both qualitative and quantitative techniques.
• To enable students to use a range of perspectives to critically review research studies in terms of theorising, methods and findings.
• To develop skilled research methods to address complex business problems, both systematically and creatively.
• To prepare students for the dissertation at Level Three through the development and production of a formal research proposal.

Content

• Business research - philosophy and process
• Research methods in the social sciences
• Developing a research question, undertaking a systematic literature review and selecting an appropriate research strategy
• Deductive and inductive reasoning
• The nature of qualitative research
• Qualitative data collection techniques - ethnography, mobile ethnography, interviews, focus groups, documentary analysis, content analysis, surveys, etc.
• Working with qualitative data – coding techniques, interpretation, NVivo, etc.
• Quantitative data collection techniques – as above, plus scaling, psychometrics, experimentation, behavioural coding, etc.
• Levels of measurement
• Descriptive and inferential statistics
• Non-parametric and parametric techniques
• Quantitative data analysis in SPSS – correlation, regression, ANOVA, t-tests, etc.
• Identifying, using and critiquing secondary data sources
• Documenting, reporting and disseminating research
• Ethical issues in business research

Learning Outcomes

• At the end of the module students should be able to:
• Demonstrate knowledge, understanding and competence in collecting data and using a range of qualitative and quantitative research methods and techniques.
• Understand the importance of ethics in research and know how to approach ethical issues in research design and planning.

• At the end of the module students should be able to:
• Design initial research and investigation.
• Understand the implications of different approaches and designs of research and investigation for meaning and method.
• Design and conduct small-scale research investigations, including gathering of appropriate primary and secondary data from business and other sources.
• Select appropriate methods, conduct analyses of data and draw inferences using statistical, mathematical and qualitative techniques as appropriate.

• Ability to access data and information from a range of sources.
• Ability to analyse and present quantitative and qualitative data.
• Ability to self-manage and reflect on their own performance.
• Ability to exercise effective time management.
• Ability to assess the quality of research conducted by others.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• The module will be delivered by means of a series of lectures and practical workshops, supported by guided reading and online learning materials. Lectures explore philosophical, epistemological and conceptual input to students’ research training. The accompanying workshops provide opportunities for experiential learning, exploring in-depth specific research and data analysis methods, especially quantitative techniques using quantitative and qualitative software packages (e.g. SPSS), in a ‘laboratory-type’ setting.
• The summative assessment on this module involves the development and submission of a formal dissertation proposal in order that students completing are fully prepared for, and have received detailed feedback on, the proposed research project undertaken at Level Three.
• In readiness for this module, teaching and learning activities will be scheduled on BUSI1211 Strategy in Practice for delivery in the Easter Term in Year 1 of study.
• Workshops will be scheduled in the Easter term of Year 2 of study on this module in readiness for starting Business Analytics for Artificial Intelligence in Year 3.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment

Formative exercises will be embedded into all workshops to provide continuous assessment and feedback on students’ developing research and data analysis skills. In addition, all students will produce a short initial research plan including an ethical statement and risk assessment (1000 words max.) outlining their intended dissertation topic.