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Welcome to Quantitative (Research) Methods MGM

Join Peter Schmidt in exploring the world of Quantitative Research Methods to improve statistical analysis and communication skills in Economics and Business. Enhance your expertise in data interpretation, regression models, and hypothesis testing. This course covers practical experience in Excel and SPSS, academic research structure, and helpful tools for daily work. Engage with theoretical models and gain proficiency in statistical tools for business applications. Learn how to apply statistical analyses to real-world cases, improving decision-making abilities. Take responsibility for your learning outcomes and collaborate with diverse teams for a comprehensive learning experience.

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Welcome to Quantitative (Research) Methods MGM

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  1. Welcome to Quantitative (Research)Methods MGM FUNwithdata ! Peter Schmidt 2017 schmidt-bremen.de -> QM (MGM)

  2. WHY study Quantitative (Research) Methods? WHAT‘s it about ?

  3. Why?

  4. Contents • Introduction(s) • Quantitative Research Methods • Lecturer • Students

  5. Learning Targets • Quantitative Methods • Dealing with data • Theoretical models • Practical experience (in Excel and SPSS) • Helpful tools for your daily work • Academic Research • structure and format of academic work • (Literature sources)

  6. “The Business Research Process” Cooper / Schindler

  7. Learning Targets: Content • “Quantitative Methods” enables students to analyze data and apply statistical analyses. Topics include: • Presentation and interpretation of descriptive measures, • applications of probability and the normal distribution in order to be able to properly apply confidence interval estimation and hypothesis testing. • The students shall be able to use simple and multiple regression models as well as time seriesanalysis to applied cases from Economics and Business.

  8. Learning Outcomes • After completion of this module students will have essentially improved their individual communication skills, self-confidence and effectiveness in rhetoric activities and are able to professionally apply presentation, moderation and negotiation techniques. • Students will be also able to apply statistical tools and concepts needed in business applications and can use modeling as an aid to managerial decision making

  9. Peter Schmidt Who am I Economics & Statistics market . research . culture

  10. You • are highly motivated students  • have to carry your individual workload: theory: 30 classroom h+ 60 h individual work Schmidt-bremen.de-> QM (MGM)

  11. I want YOU … • to make this YOUR class • Assume responsibility for your – and all our Learning Outcomes • Help me make the class better E c o n o m i c s

  12. How do welearn ?… • Listening • Watching • Writing • Thinking • … (Team) working?

  13. Assessment… • The assessment is a LEARNING PORTFOLIO. This is a type of assessment in which the students document their own responsibility for their learning process and learning outcome. • Assessment - Required parts of the Learning Portfolio in this class are described in this document - they might be subject to change / discussion during the semester.

  14. Teamwork • 5 Teams – working together for the module • Mixed gender / nationalities Tasks: • Teamwork in class • Homework (teams) • Case study: presentations + handout

  15. Contents • Introduction(s) • Quantitative Research Methods • Lecturer • Students • … • Let’s get started

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