Objectives and competences
Research and analysis of complex situations and processes with multivariate statistics. Development of research methodology and innovative use of multivariate metods, development of new methodological approaches in data gathering, analysis and synthesis. Develop adequate approaches for business decision-making at risk and uncertainty.
Content (Syllabus outline)
Selected multivariate statistic analysis:
- Multiple Regression
- Analysis of Covariance
- Multivariate Analysis of Variance and Covariance
- The Multivariate Approach to Repeated Measures
- Multiple Discriminant Analysis
- Multiple Logistic Regression
- Survival/Failure Analysis
- Canonical Correlation
- Principal Components and Factor Analysis
- Structural Equation Modeling
- Multilevel analysis
Applications at selested research fields:
- Methodology in entrepreneurship research
- Contemporary marketing research
- Etc.
Intended learning outcomes - knowledge and understanding
Development of Knowledge and Understanding
The learner
? Knowledge base: has great depth and systematic understanding of a substantial body of knowledge. Can work with theoretical / research knowledge at the forefront of the discipline at peer reviewed standards/ publication quality
? Ethical issues: can analyse and manage the implications of ethical dilemmas and work pro-actively with others to formulate solutions
? Disciplinary methodologies: has a comprehensive understanding of techniques / methodologies applicable to the discipline (theory or research-based).
Cognitive and Intellectual Skills
The learner:
? Analysis: with critical awareness, can undertake analysis, managing complexity, incompleteness of data or contradictions in the areas of knowledge
? Synthesis: can synthesise new approaches, in a manner that can contribute to the development of methodology or understanding in that discipline or practice
? Evaluation: has a level of conceptual understanding and critical capacities that allows independent evaluation of research, advanced scholarship and methodologies. Can argue alternative approaches
? Application: can act independently and with originality in problem solving, is able to lead in planning and implementing tasks at a professional or equivalent level
Key / Transferable Skills
The learner:
? Group working: can lead /work effectively with group. Can clarify task, managing the capacities of group members, negotiating and handling conflict with confidence
? Learning resources: is able to use full range of learning resources
? Self evaluation: is reflective on own and others’ functioning in order to improve practice
? Management of information: can undertake innovative research tasks competently and independently
? Autonomy: is independent and self-critical as learner; guides and supports the learning of others and can manage own continuing professional development
? Communication: can communicate complex or contentious information clearly and effectively to specialists / non-specialists, understands lack of understanding in others. Can act as a recognised and effective consultant
? Problem solving: can continue own professional study independently, can make use of others professionally within / outside the discipline.
Practical Skills
The learner:
? Application of skills: can operate in complex and unpredictable / specialised contexts that may be at the forefront of knowledge. Has overview of the issues governing good practice
? Autonomy in skill use: can act in a professional capacity for self / others, with responsibility and largely autonomously and with initiative in complex and unpredictable situations
? Technical expertise: has technical mastery, performs smoothly with precision and effectiveness; can adapt skills and design or develop new skills / procedures for new situations.
Readings
Obvezna študijska literature (Compulsory textbooks):
Barbara G. Tabachnick, Linda S. Fidell, Using Multivariate Statistics: International Edition, 6/E, Pearson, 2012.
Izbrani članki iz revij, namenjenih razvoju kvantitativnih metod v ekonomskih in poslovnih vedah / Selected articles in journals for development of quantitative methods in business and economics:
- Journal of Business & Economic Statistics, American Statistical Association
- Advances in Statistical Analysis, Springer
- American Statistician, American Statistical Association
- Management Science
- Annals of the Institute of Statistical Mathematics, Springer
- Journal of Business & Economic Research
- Australian and New Zealand Journal of Statistics, Statistical Society of Australia
- Canadian Journal of Statistics, Statistical Society of Canada,
- International Statistical Review, International Statistical Institute
- Journal of Applied Statistics, Taylor and Francis
- Journal of Computational and Graphical Statistics, IMS, ASA, Interface
- Journal of Data Science, Beijing, New York and Taipei
- Statistics and Decisions, Oldenbourg Verlag
- Survey Methodology, Statistics Canada.
Dodatna študijska literature (Additonal textbooks):
Šebjan, U., Berglez, T. (2015). Multivariatni pristopi k raziskovanju nakupnega vedenja, Multivariate research of the customers' behaviour. Pearson: Harlow.
Abdelmonem Afifi, Susanne May, Virginia A. Clark, Practical Multivariate analysis, 5th edition, CRC Press: Taylor and Francis Group, 2012.
