Quantitative Methods for Business Research
Cengage Learning EMEA
978-1-4080-6489-4 (ISBN)
- Titel ist leider vergriffen;
keine Neuauflage - Artikel merken
Quantitative Methods for Business Research Using Microsoft Excel helps students of all levels to use quantitative methods successfully as part of research. This book and its online resources approach quantitative methods with the assumption that applying the powerful statistical tools available in Excel doesn’t require any special competence in mathematics or statistics. It’s all about knowing which tools to use and how to use them, not what makes them work. This book aims to promote two things: the conviction that quants is well within your capabilities; and an enduring interest in the subject that will carry you on beyond the ambition and scope of this work. This textbook is autopackaged with CourseMate. CourseMate brings course concepts to life with interactive learning, study, and exam preparation tools that support the printed textbook and the textbook-specific website. CourseMate includes an integrated eBook and interactive teaching and learning tools including quizzes, flashcards, videos, and more.
John Duignan has lectured in Economics, International Business, and Quantitative Methods at the University of the West of Scotland. He was Associate Lecturer at the Surrey European Management School, and Visiting Lecturer at several French Business Schools and Universities, including Montpellier, Toulon, Annecy and Le Havre. John plays the saxophone at a level where he can only get better.
Part One: Introduction: Quantitative research methods without (much) pain
1. Quantitative research methods using Excel - an applied (non-mathematical) approach.
2. Navigating the Excel ribbon and tabs: installing the Analysis ToolPak.
3. Descriptive statistics: the base-line for quantitative methods.
4. Relationships between variables: correlation analysis in business research.
Part Two: The analysis of relationships and differences: inferential statistics, statistical significance and hypothesis testing
5. Linear Regression Analysis: statistical relationships between variables.
6. Is there a difference and if so, does it matter? Using t-tests in business research.
7. ANOVA: testing for differences between groups.
8. Chi-square: categorically a different kind of difference.
Part Three: Basic elements in formulating a research proposal, and presenting findings using Excel graphics
9. Formulating the research proposal.
10. Basic elements in selecting a chart-type and providing legends and labels.
Part Four: Some issues with Excel data analysis and a few answers
11. The limitations of Excel Data Analysis tools: assessing the data assumptions.
12. Loose ends: touching on some unanswered questions – sampling, multicollinearity and confidence intervals.
| Erscheint lt. Verlag | 3.2.2014 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Gewicht | 401 g |
| Themenwelt | Schulbuch / Wörterbuch |
| Wirtschaft ► Betriebswirtschaft / Management ► Allgemeines / Lexika | |
| ISBN-10 | 1-4080-6489-8 / 1408064898 |
| ISBN-13 | 978-1-4080-6489-4 / 9781408064894 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
