- Nauczyciel: Joanna Szulc
COURSE DESCRIPTION
This course is the continuation of Multivariate Research Methods Part 1. For undertaking Part 2, students must have completed and passed Part 1 of the course.
The aim of Multivariate Research Methods Part 2 is to provide knowledge of advanced quantitative statistics used in social research, which provides a foundation to understanding attitudes, perceptions, and behaviours to help managers make better informed decisions. Underpinning these methods, the usage of quantitative statistics is explored as well as the basic research principles. In addition to methodological approaches an emphasis will be placed upon the research design process to include, problem identification, research question development, data collection, data analysis and a research article writing.
LEARNING OUTCOMES
At the end of this course students will:
- demonstrate a good understanding of applied statistics into management and business research.
- understand quantitative research philosophies.
- evaluate and design a research study applying statistics.
- be aware of current ethical responsibilities and conflicts of collecting and using market information.
- understand and apply methodological positions to the design and analysis of problem-solving activities.
- understand the key concepts and statistical techniques used in applied research.
- apply statistics to address real-life marketing situations.
- Nauczyciel: Bruno Schivinski
- Nauczyciel: Marjan Petreski
- Nauczyciel: Marjan Petreski
- Nauczyciel: Joanna Szulc
Quantitative research methods - dr P. Paradowski
- Nauczyciel: Piotr Paradowski
- Nauczyciel: Jerzy Ossowski
- Nauczyciel: Jerzy Ossowski
- Nauczyciel: Jerzy Ossowski
- Nauczyciel: Joanna Szulc
- Nauczyciel: Krzysztof Zięba