Module BUSI4S915: Quantitative Methods for Doctoral Research

Department: Management and Marketing

BUSI4S915: Quantitative Methods for Doctoral Research

Pre-requisites

Corequisites

Excluded Combinations

Aims

• To facilitate students’ in-depth engagement with a range of contemporary quantitative approaches in Management and Marketing research.
• To develop students’ critical understanding of the logic of hypothesis testing and making causal claims.
• To provide students with hands-on experience in data collection and analysis with state-of-the-science software tools.
• To facilitate students’ doctoral-level writing and presentation skills for quantitative research.
• To develop students’ critical understanding of ethical implications when conducting quantitative research.

Content

• Conceptual models
• Descriptive and basic inferential statistics
• Hypothesis testing and causal inference
• Measurement and scaling, sampling, and survey design
• Methods of quantitative data collection (e.g., surveys, experiments)
• Quantitative data management and analysis (correlation, basic regression, ANOVA)
• Reviews and meta-analytical approaches
• Software tools for data collection (e.g., Qualtrics) and analysis (e.g. SPSS, R)
• Writing up and presenting quantitative research

Learning Outcomes

• Critical understanding of different quantitative research approaches
• Critical understanding of quantitative data collection techniques
• Critical understanding of quantitative data analysis techniques
• Critical understanding of ethics and open science practice in quantitative research

• Ability to critically evaluate quantitative research approaches
• Ability to develop doctoral-level research questions for quantitative methods
• Ability to evaluate strengths and opportunities of quantitative research designs
• Ability to communicate quantitative research results, verbally and in writing

• Critically evaluating quantitative research designs
• Formulating and testing hypotheses
• Data collection
• Data management
• Implementing data analysis
• Managing individual and collaborative projects

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

• The module will be delivered in a blended format, including workshops with lecture-type delivery format, work in small groups, and individual work that helps students develop a deeper understanding of quantitative research.
• The formative and summative assessments of the module are designed to facilitate students’ quantitative data analysis and interpretation skills.
• The summative assessment (group report) facilitates students’ learning from each other and develops their teamwork skills for collaborative research.
• Comprehensive reading and self-study materials will be provided online.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment

The students will work on selected exercises in small groups; they will present the results of this small group work.